Data scientist jobs in Santa Clarita, CA - 294 jobs

Our Mission Launched in 2012, Tinder revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™" Our Values One Team, One Dream We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own It We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop Learning We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark Solutions We're problem solvers, focusing on how to best move forward when faced with obstacles. We don't dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The TeamThe Growth Data Science team is looking for curious individuals excited to drive data-informeddecision-making at Tinder. We are a strategic partner to the Product team, and will be using ourcomprehensive datasets to develop experiments, understand metrics, develop automatedreports, and generate exploratory insights to guide our business solutions. These insights arekey in both the performance of our business and the experience of our members. This role has the opportunity to work on either the User Growth or Growth Platform teams withinthe Data Science Team. The User Growth team focuses on validating greenspace hypothesesand optimizing the core experience through growth levers and personalization, while the GrowthPlatform team focuses on optimizing and scaling messaging strategy through strategic channels and personalization. We will work closely with you to define what team would be the best match. Where you'll work:This position can be located in Los Angeles (preferred), San Francisco, Palo Alto, CA, or Dallas, TX In this role, you will: Drive rigorous testing to validate hypotheses and guide business decisions. Find the “story” in the data and readily share insights with product, engineering, and design as well as at a company level. Be an authority with a point of view for the organization, using data to constantly challenge and reshape our current understanding of customer behavior and business performance. Derive and communicate data-driven recommendations regarding both the prioritization of potential product/marketing initiatives and the performance of current initiatives. Define and operationalize the detailed tracking of company-wide, team-specific, and product- specific performance metrics via rollout tables, dashboards, and automated reporting. You'll need: Bachelor's degree in a quantitative field, Master's degree, or PhD with a social science background preferred. 2-4 years of professional working experience in Data Science and/or analytics. Familiarity with two sided consumer ecosystem, specifically in the context of consumer technology Experience with SQL, data visualization tools (e.g., Tableau or Mode) Hands on experience in designing and implementing experiments (e.g. randomized testing, A/B testing) to drive key product decisions is required Familiarity with Python/R, using descriptive and inferential statistics and machine learning models. Demonstrated ability to collaborate effectively with design, product, and engineering teams to advance key business initiatives from conceptualization to final product delivery. Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data. Ability to present data, actionable insights, technical concepts and approaches to technical and non-technical audiences. Differentiators: Curiosity of how things work, from both a business and technical perspective, which could result in identifying and exploring new product opportunities, potential improvements to our data infrastructure, and diving deeply into understanding member behavior. Proactive collaborator skilled in engaging with cross-functional teams (Product, Engineering, Machine Learning) to influence decision-making, confidently voicing concerns and alternative perspectives Ability to prioritize time across multiple projects and communicate timelines As a full-time employee, you'll enjoy: Unlimited PTO (with no waiting period), 10 annual Wellness Days Time off to volunteer and charitable donations matching Comprehensive health, vision, and dental coverage 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP) 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual stipend for your professional development Investment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy Free premium subscriptions for several Match Group apps - including Tinder Platinum! $145,000 - $155,000 a year Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. #Tinder Commitment to Inclusion At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: ******************************** If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

What You'll Do As a Principal Data Scientist: Develop novel AI/ML solutions to further the companys mission of creating innovative and engaging content Architect efficient data models and high-quality production pipelines and partner with Engineering for all necessary telemetry Design, build, and deploy predictive models, machine learning algorithms, and statistical analyses to address complex business challenges. Identify trends, patterns, and insights from large datasets to inform decision-making. Work end to end from data collection, feature generation and selection, algorithm development, forecasting, visualization and communicating of model results Think creatively to solve complex problems Monitor and maintain the performance of ML models Research and stay up-to-date on the latest AI/ML trends and technologies Provide technical guidance and mentorship to other engineers Collaborate with data engineering teams to ensure the quality and accessibility of data Communicate insights and best practices in leadership Qualifications: You could be a great fit if you have: MS/Ph.D. in quantitative discipline 10+ years of experience in data science, with a proven track record of leading and delivering successful projects Proficiency in programming languages such as Python, R, or Scala Expert-level experience working with scikit-learn, numpy, and pandas and other ML libraries. Solid understanding of ML technologies, models, mathematics and statistical methods Experience with cloud databases, such as Snowflake, databricks, and BigQuery is a plus Required Citizenship / Work Permit / Visa Status Candidates must work W2, no Corp 2 Corp. US Citizen, Green Card Holder, H4-EAD, TN-Visa Must haves: 10 years in Data Science General computing (Python, R, Scala) Solid understanding of Machine Learning Technologies

Marketing science - a sub-team within marketing analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+ and Star) - is in search of an econometrician to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The analyst plays a hands-on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative-building are integral to the success of this role. Responsibilities * Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams * Quantify ROI on marketing investment, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts * Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross-validate model results * Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc) * Support long-term MMM (et.al.) automation, productionalization and scale with support from data engineering and product * Build out front-end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels and subscriber types Basic Qualifications * Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study * 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices * Coursework or direct experience in applied econometric modeling, ideally in support of measure marketing efficiency and optimize spend, flighting and mix to maximize return on ad spend (i.e., MMM) * Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement * Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy * Exposure to / familiarity with with BI/data concepts and experience building out self-service marketing data solutions * Strong coding experience in one (or more) data programming languages like Python/R * Ability to draw insights and conclusions from data to inform model development and business decisions * Experience in SQL Preferred Qualifications * Masters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered. About Disney Direct to Consumer: Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer. Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

THIS ANNOUNCEMENT IS BEING REPOSTED TO REOPEN THE FILING PERIOD TO ALLOW ADDITIONAL APPLICATION FILING AND UPDATE BULLETIN LANGUAGE. EXAM NUMBER: PH1763B TYPE OF RECRUITMENT: We welcome applications from anyone. FIRST DAY OF FILING: The application filing period will begin on Monday, March 3, 2025 at 8:30 a.m. Pacific Time (PT) - Continuous. We will keep accepting applications until the position is filled. The application window may close unexpectedly once we have enough qualified candidates. No out-of-class experience will be accepted. DEFINITION: Under general supervision, develops and applies methods to identify, collect, process, organize, and analyze structured and unstructured data using statistical prediction, inference, and optimization; effectively communicates results to County, departmental, and divisional decision makers to support data-driven program design and management. CLASSIFICATION STANDARDS: This is the second working level in the professional data science/analysis series. Positions allocable to this class work under the general direction of a Data Science Supervisor or supervisor or manager responsible for the data analytics, research, or statistical function of a department, independently performing duties of considerable difficulty to complete moderately complex projects or major aspects of large/complex projects that may be divisional, departmental, or Countywide in scope. Incumbents deploy techniques such as data extraction, transformation, and loading; classical statistical analysis and machine learning, including predictive and prescriptive modeling and optimization; and data visualization, to generate critical information and knowledge and effectively communicate findings to technical and nontechnical stakeholders to support data-driven program design, management, and decision-making. Incumbents work with data sets characterized by large volume, moderate complexity, and significant heterogeneity, integrating data from various sources, requiring direct collaboration with data engineers and other IT staff to design and provide feedback on data systems and processes necessary to support their work. Data Scientist is distinguished from the Senior Data Scientist in that the latter applies subject-matter expertise to identify new and emerging business problems, whereas the Data Scientist works under general supervision to develop methods of interrogating data in order to solve previously identified business problems. The Data Scientist is distinguished from the Predictive Data Analyst in that the latter applies well-established analytic principles, methods, and procedures within existing data systems and architectures to complete well-defined, routine to moderately difficult functions and projects, whereas Data Scientists may develop or assist in developing new analytic methods, functions, and data architectures as necessary to complete complex projects, including those involving unstructured data. Positions in this class differ from those that plan, design, conduct and evaluate research projects involving complex experimental designs and data analysis, programming and processing of data, and preparing reports and recommendations based on research findings, in that these classes do not employ machine learning or big data as part of their analyses. * Collaborates with division, department, and countywide stakeholders to solicit, define, and manage data science projects from conception through implementation, including identifying and developing statements of business problems; conducting exploratory data analysis and data mining; developing model specification requirements; and conducting advanced statistical analyses. * Develops and presents visualizations of findings and recommendations that can be used to support business decisions and allocate resources. * Works with departmental stakeholders to document business requirements and helps frame business problems so that appropriate corresponding data science techniques can be identified and applied. * Collaborates with department subject matter experts to understand, identify, and select available and relevant sources of data for use cases, including internal, external, structured, and unstructured data sources. * Works with departmental Information Technology organization to support collection, integration, and retention requirements for large sets of structured and unstructured data from various sources and consults with data engineers and architects on the design and architecture of relevant data systems and processes. * Collaborates with other Data Scientists, Analysts, and IT staff to select, evaluate, improve, and document tools and systems in order to strengthen divisional and departmental analytic capacity. * Independently conducts advanced analytical studies for the resolution of business problems and transfigures data into critical information by selecting and deploying appropriate advanced statistical techniques such as machine learning, bivariate and multivariate analyses, predictive/prescriptive analytics, and optimization. * Uses statistical computer scripting, domain-specific, and programming languages and other software and tools to digest, manipulate, prepare, augment, evaluate, analyze, summarize, and visualize data. * Plans, designs, and manages experiments, consumer surveys, and other data collection projects to augment existing sources of data as necessary to solve business problems. * Reviews the work of Predictive Data Analysts and other lower-level analysts assigned to project for quality-control purposes. * Conveys findings and conclusions of work orally, in writing, visually, in presentations, and by developing interactive tools as appropriate to communicate effectively with a wide range of audiences, including technical and nontechnical staff, stakeholders, and members of the public. * Works with program staff to understand the implications of analyses and to ensure that findings are actionable and support data-driven program, policy, and operational decision-making. * Assists in implementing recommended business process changes in ways that both retain fidelity to best practices identified through the analysis and recognize the operational realities underlying existing business processes. * Works with functional teams to develop and implement products, services, and tools, such as dashboards and reports, emerging from the analysis. * Contributes to advanced analytic products (e.g., Recommender Engines, Auto Classification algorithms, Predictive Scoring, geo-spatial clustering, NLP classifier, etc.) and helps place them in production. * Recommends ongoing improvements to methods and algorithms that lead to findings, including new information. * Provides business metrics for departmental projects to show improvements both initially and over multiple iterations. Provides ongoing tracking and monitoring of performance of decision systems and statistical models and troubleshoots and implements enhancements and fixes to systems as needed. * Accesses ongoing training and professional development to maintain familiarity with current industry and academic research to apply the latest and most useful statistical learning techniques to help extract pattern and trends from data. * Develops relationships with local academic data science programs to foster recruitment of data science interns and is responsible for overseeing their work on departmental data science projects. SELECTION REQUIREMENTS: Two (2) years of experience applying machine learning, predictive analytics, data management, and hypothesis-driven data analysis to produce actionable recommendations to support data-driven program, policy, and operational decision-making. LICENSE: A valid California Class C Driver License or the ability to utilize alternative method of transportation when needed to carry out job-related essential functions. PHYSICAL CLASS: Physical Class II - Light: This class includes administrative and clerical positions requiring light physical effort that may include occasional light lifting to a 10 pound limit and some bending, stooping, or squatting. Considerable ambulation may be involved. DESIRABLE QUALIFICATIONS: Credit will be given to applicants who possess the following desirable qualifications: * Additional experience beyond the Selection Requirements. EXAMINATION CONTENT: This assessment type will evaluate the experience you list on a questionnaire and assign a score based on a standardized scoring system. This part of the assessment is worth 100% of your total score and assesses: Selection Requirements and Desirable Qualifications. Candidates must meet the Selection Requirements and must achieve a passing score of 70% or higher on the examination in order to be added on the Eligible Register. Passing this examination and being added to the Eligible Register does not guarantee an offer of employment. ELIGIBILITY INFORMATION: Candidates who passed the assessment are placed on a list in the order of their score group for a period of twelve (12) months. We will use this list to fill vacancies as they occur. NO PERSON MAY COMPETE IN THIS EXAMINATION MORE THAN ONCE EVERY TWELVE (12) MONTHS. Applications will be processed as they are received and added to the list accordingly. VACANCY INFORMATION: The Eligible Register resulting from this examination will be used to fill vacancies in the Department of Public Health as they occur. AVAILABLE SHIFT: Any shift, including evenings, nights, weekends and holidays. _______________________________________________________________ Application and Filing Information HOW TO APPLY: We only accept applications filed online. Applications submitted by U.S. mail, fax, or in person are not accepted. Apply online by clicking on the "Apply" green button at the top right of this posting. This website can also be used to get application status updates. Apply online by clicking on the green "Apply" button located on this posting. You can also track the status of your application using this website. Plan to submit your application promptly as you may be required to verify your email address. This only needs to be done once per email address, and if you already have a job seeker account on the County of Los Angeles Job Opportunities Website, you can verify at any time by logging in and following the prompts. This is to enhance the security of your online application and to ensure you do not enter an incorrect email address. Please fill out the application completely. Provide relevant job experience including employer's name and address, job title, beginning and ending dates, number of hours worked per week, and description of work performed. IMPORTANT NOTES: Please note that ALL information supplied by applicants and included in the application materials is subject to VERIFICATION at any point during the examination and hiring process, including after an appointment has been made. * Applications may be rejected at any stage of the examination and selection process. * FALSIFICATION of any information may result in DISQUALIFICATION or RESCISSION OF APPOINTMENT. * Utilizing VERBIAGE from Class Specification(s) and/or Minimum Requirements serving as your description of duties WILL NOT be sufficient to demonstrate that you meet the requirements. In doing so your application will be dispositioned as INCOMPLETE and will not be accepted. * Comments such as "SEE RESUME" or "SEE APPLICATION" will not be considered a valid response; therefore, using such statements will also result in your application being rejected as INCOMPLETE. COMPUTER AND INTERNET ACCESS AT PUBLIC LIBRARIES: For candidates who may not have regular access to a computer or the internet, applications can be completed on computers at public libraries throughout Los Angeles County. Check the website for updated information at **************************** SOCIAL SECURITY NUMBER: Please include your Social Security Number for record control purposes. Federal law requires that all employed persons have a Social Security Number. DO NOT SHARE USER ID AND PASSWORD: All applicants must file their application online using their OWN user ID and password. Using a family member or friend's user ID and password may erase a candidate's original application record. ANTI-RACISM, DIVERSITY, AND INCLUSION (ARDI): The County of Los Angeles recognizes and affirms that all people are created equal and are entitled to all rights afforded by the Constitution of the United States. We are committed to promoting Anti-racism, Diversity, and Inclusion efforts to address the inequalities and disparities amongst races. We support the ARDI Strategic Plan and its goals by improving equality, diversity, and inclusion in recruitment, selection, and employment practices. FAIRCHANCE EMPLOYER: The County of Los Angeles is a Fair Chance employer. Except for a very limited number of positions, you will not be asked to provide information about a conviction history unless you receive a contingent offer of employment. The County will make an individualized assessment of whether your conviction history has a direct or adverse relationship with the specific duties of the job, and consider potential mitigating factors, including, but not limited to, evidence and extent of rehabilitation, recency of the offense(s), and age at the time of the offense(s). If asked to provide information about a conviction history, any convictions or court records which are exempted by a valid court order do not have to be disclosed. Qualified applicants with arrest or conviction records will be considered for employment in accordance with County Fair Chance Policies and the Fair Chance Act (Gov. Code Section 12952). EQUAL EMPLOYMENT OPPORTUNITY/NON-DISCRIMINATION STATEMENT: The County of Los Angeles is an Equal Employment Opportunity Employer and is committed to non-discrimination in the County workforce, regardless of age (40 and over); ancestry; color; ethnicity; religious creed; protected family or medical leave status; disability; marital status; medical condition; genetic information; military and veteran status; national origin; race ; sex; gender; sexual orientation; or any other characteristic protected by State or federal law. For more information, please visit: *********************************************** Department Contact Name: Exam Analyst Department Contact Phone: ************** Department Contact E-mail: *********************** Exam Number: PH1763B California Relay Services Phone: ************** ADA Coordinator Phone: ************ Teletype Phone: ************** Alternate Teletype Phone: **************

Role: Data Scientist - AI Strategy & Implementation (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Adidev Technologies Inc ************************** Adidev Technologies is seeking 2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment. If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Job Description • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems. • Strong foundation in Python programming in a cloud environment. • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills • Expertise in data wrangling using SQL, • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes • Fluency in querying/extracting/aggregating data via SQL scripting. • Extract, load and transform data (ETL) from structured and unstructured sources • Apply Natural Language Processing and Computer Vision to solve business use cases, • Strong skills in scientific data analyses, modeling, visualization and communication of results. • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction Must have • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others) • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization) • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM) • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.) • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.) • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest • Distributed computing tools and cloud technology (AWS) Benefits Competitive Salary Paid Relocation Remote Support Guaranteed Regular Salary Reviews Job Type: W2 or Contract 1099 (full-time - 40 hours). Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Salary Range: $9,852.82 - $13,278.10 Monthly Data Scientist Supervisor (“The Director”) provides administrative and technical supervision to a unit responsible for development and maintenance of Information Technology (IT) systems, and data analytics and business intelligence initiatives for Community Programs (CP) within the Department of Health Services (DHS). Community Programs includes the Office of Diversion and Reentry, the Harm Reduction Division, CalAIM Housing and Reentry Initiatives and other programs that serve people who are justice-involved and/or experiencing homelessness. This position serves as the primary technical resources for data analytics and business intelligence and delivers reporting and evaluation that supports data-driven decision-making and improves operational efficiency, works with senior IT and program leadership to design, implement, and maintain data systems and analytics infrastructure, ensures the integration of CP data with data from multiple health, housing, and justice platforms; and defines the overall vision, governance, and strategy for data analytics, business intelligence, and IT integration within Community Programs. Position requires expert knowledge of and experience in advanced data and statistical modeling and computational methods, statistical programming languages and packages, and big-data engineering solutions; and the ability to identify and resolve business needs and issues of strategic importance within the assigned department. The position will be a hybrid role, and the office is based in downtown Los Angeles. ESSENTIAL FUNCTIONS of the Data Scientist Supervisor include, but are not limited to: Plans, organizes, supervises, and evaluates complex data analytics, business intelligence and IT integration operations across Community Programs. Develops, implements, and monitors large-scale data science and reporting projects from inception to deployment, ensuring objectives and outcomes are met in a timely manner Supervises and mentors a diverse team of analysts and data scientists; supports training and development of technical skills; promotes continuous professional development; fosters a collaborative, high-performing work environment; and manages cross-department partnerships on data analytics. Advises program leadership on analytics opportunities, emerging technologies, and strategic initiatives to improve operational efficiency and data-driven decision-making. Directs the design, development, and maintenance of complex data systems that hold case management, healthcare and justice data, including the Comprehensive Health Accompaniment and Management Platform (CHAMP), the Diversion Database, and the LA County InfoHub. Oversees enhancements to ensure interoperability, usability, and performance. Leads the integration of the data systems with Community Programs' operations across health, housing and justice programs. Works closely with CP leadership across programs to identify business needs and to define the overall strategy and vision for data analytics and IT integration, aligning with DHS and Countywide priorities in health, housing, and justice. Collaborates with DHS' Chief Information Office and DHS Population Health Analytics, and other County departments to improve IT systems, large databases, data pipelines, and analytic tools that improve service delivery, operational efficiency, and program effectiveness. Oversees the design and production of dashboards, performance reports, and analytics tools for internal and external stakeholders, including CP teams and contracted providers (e.g. community-based organizations), the Board of Supervisors, managed care plans, and the broader community. Leads efforts to standardize data collection, analysis, and reporting practices across programs and providers. Directs data governance, privacy, and security initiatives across Community Programs, ensuring compliance with DHS, County, and State requirements. Works closely with the CP CalAIM team to support Medicaid claiming; oversees data management, reporting, and data quality assurance for Medicaid billing operations, including CalAIM Community Supports and Enhanced Care Management, and Specialty Mental Health Services and Drug Medi-Cal billing. Implements and maintains data infrastructure projects, including creation of a CP data repository in InfoHub and integration of data from non-DHS sources Serves as the technical liaison for system integrations with external data exchanges with other County Departments through the County's Infohub and with non-County partners through LANES (a Countywide Health Information Exchange) and other health information exchange platforms. Oversees creation and implementation of data-sharing agreements and MOUs to expand data access and improve interdepartmental collaboration. Oversees risk management, incident investigations, and IT security reviews related to CP data systems and reporting platforms. Represents CP in Countywide data governance, oversight, and strategic planning committees. Promotes innovation in data science and analytics through the exploration and implementation of machine learning, predictive modeling, and other advanced analytic methodologies. JOB QUALIFICATIONS Minimum Education/Experience A Bachelor's degree from an accredited college or university in Data Science, Computer Science, Information Systems, Mathematics, Machine Learning, Statistics, Business Analytics, Data Analytics, Public Health, Epidemiology or a related field. AND five (5) years of experience doing large-scale data integration, data reporting and analytics or IT business analysis; coordination or oversight of complex data science projects to support program, policy and operational decision-making and management; and data-driven program design, implementation, evaluation and quality improvement. That experience must include two (2) years supervising a team of a data science professionals. A Master's or Doctoral degree in Data Science, Computer Science, Information Systems, Mathematics, Machine Learning, Statistics, Business Analytics, Data Analytics, Public Health, Epidemiology or a related field may substitute for up to two (2) years of experience. Certificates/Licenses/Clearances A valid California Class C Driver License or the ability to utilize an alternative method of transportation when needed to carry out job-related essential functions. Successful clearing through the Live Scan process with the County of Los Angeles. Other Skills, Knowledge, and Abilities Strong leadership and management skills, with the ability to motivate and inspire a team. Proven experience in data analysis and visualization tools, such as SQL, Excel, Tableau, Power BI, or similar tools. Excellent analytical and problem-solving skills, with a strong attention to detail. In-depth knowledge of statistical analysis techniques and methodologies Proficiency in data modeling and data manipulation. Strong business acumen and the ability to connect data insights to business objectives. Excellent communication and presentation skills, with the ability to translate complex data into clear and actionable insights. Ability to work effectively in a fast paced, dynamic environment, managing multiple priorities and meeting deadlines. Experience with cloud data platforms like MSFT Azure, AWS, Databricks, Snowflake, Google BigQuery. Proven track record of delivering impactful insights and recommendations based on data analysis. Demonstrated experience in developing and implementing analytics strategies in a corporate environment. Strong understanding of data governance principles and practices. Familiarity with data visualization best practices and tools. Experience working with large datasets and using statistical analysis techniques. Knowledge of programming languages such as Python or R is preferred. Certification in relevant analytics tools or methodologies is a plus. ONLINE APPLICATION REQUIREMENTS At a minimum, candidates need to submit/upload electronic copies of a resume describing education to include training certifications, and relevant paid and volunteer experience - relevant to the essential job functions. Applications need to include legible copies of education diplomas/transcripts as applicable. A cover introductory letter may be submitted while not required. Legible copies of certificates to substantiate proficiency in skills, knowledge and abilities may be submitted. Applications without supporting documentation at the time of application or no more than 5 business days after the initial application will not be included in the candidate pool. Review of job description at *************************************** is suggested, especially if applying to the position from a third-party online application. PHYSICAL DEMANDS Stand Frequently Walk Frequently Sit Frequently Handling Occasionally Reach Outward Occasionally Reach Above Shoulder Occasionally Climb, Crawl, Kneel, Bend Occasionally Lift / Carry Occasionally - Up to 35 lbs Push/Pull Occasionally - Up to 35 lbs See Constantly Taste/ Smell Not Applicable Not Applicable Not required for essential functions Occasionally (0 - 2 hrs/day) Frequently (2 - 5 hrs/day) Constantly (5+ hrs/day) WORK ENVIRONMENT General Office Setting, Indoors Temperature Controlled EEOC STATEMENT It is the policy of Heluna Health to provide equal employment opportunities to all employees and applicants, without regard to age (40 and over), national origin or ancestry, race, color, religion, sex, gender, sexual orientation, pregnancy or perceived pregnancy, reproductive health decision making, physical or mental disability, medical condition (including cancer or a record or history of cancer), AIDS or HIV, genetic information or characteristics, veteran status or military service.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $177,000/year to $247,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Summary The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Overview Help Accepting applications Open & closing dates 09/29/2025 to 09/28/2026 Salary $49,960 to - $99,314 per year Total salary varies depending on location of position Pay scale & grade GS 7 - 9 Locations Gunter AFB, AL Few vacancies Maxwell AFB, AL Few vacancies Davis Monthan AFB, AZ Few vacancies Edwards AFB, CA Few vacancies Show morefewer locations (44) Los Angeles, CA Few vacancies Travis AFB, CA Few vacancies Vandenberg AFB, CA Few vacancies Air Force Academy, CO Few vacancies Buckley AFB, CO Few vacancies Cheyenne Mountain AFB, CO Few vacancies Peterson AFB, CO Few vacancies Schriever AFB, CO Few vacancies Joint Base Anacostia-Bolling, DC Few vacancies Cape Canaveral AFS, FL Few vacancies Eglin AFB, FL Few vacancies Hurlburt Field, FL Few vacancies MacDill AFB, FL Few vacancies Patrick AFB, FL Few vacancies Tyndall AFB, FL Few vacancies Robins AFB, GA Few vacancies Hickam AFB, HI Few vacancies Barksdale AFB, LA Few vacancies Hanscom AFB, MA Few vacancies Natick, MA Few vacancies Aberdeen Proving Ground, MD Few vacancies Andrews AFB, MD Few vacancies White Oak, MD Few vacancies Offutt AFB, NE Few vacancies Holloman AFB, NM Few vacancies Kirtland AFB, NM Few vacancies Nellis AFB, NV Few vacancies Rome, NY Few vacancies Heath, OH Few vacancies Wright-Patterson AFB, OH Few vacancies Tinker AFB, OK Few vacancies Arnold AFB, TN Few vacancies Dyess AFB, TX Few vacancies Fort Sam Houston, TX Few vacancies Goodfellow AFB, TX Few vacancies Lackland AFB, TX Few vacancies Randolph AFB, TX Few vacancies Hill AFB, UT Few vacancies Arlington, VA Few vacancies Dahlgren, VA Few vacancies Langley AFB, VA Few vacancies Pentagon, Arlington, VA Few vacancies Fairchild AFB, WA Few vacancies Warren AFB, WY Few vacancies Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Internships Work schedule Full-time Service Competitive Promotion potential 13 Job family (Series) * 1560 Data Science Series Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Noncritical-Sensitive (NCS)/Moderate Risk Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number K-26-DHA-12804858-AKK Control number 846709300 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Students Current students enrolled in an accredited high school, college or graduate institution. Recent graduates Individuals who have graduated from an accredited educational institute or certificate program within the last 2 years or 6 years for Veterans. Clarification from the agency This public notice is to gather applications that may or may not result in a referral or selection. Duties Help 1. Performs developmental assignments in support of projects assigned to higher level analysts. Performs minor phases of a larger assignment or work of moderate difficulty where procedures are established, and a number of specific guidelines exist. Applies the various steps of accepted data science procedures to search for information and perform well precedented work. 2. Performs general operations and assignments for portions of a project or study consisting of a series of interrelated tasks or problems. The employee applies judgment in the independent application of methods and techniques previously learned. The employee locates and selects the most appropriate guidelines and modifies to address unusual situations. 3. Participates in special initiatives, studies, and projects. Performs special research tasks designed to utilize and enhance knowledge of work processes and techniques. Works with higher graded specialists in planning and conducting special initiatives, studies, and projects. Assists in preparing reports and briefings outlining study findings and recommendations. 4. Prepares correspondence and other documentation. Drafts or prepares a variety of documents to include newsletter items, responses to routine inquiries, reports, letters, and other related documents. Requirements Help Conditions of employment * Employee must maintain current certifications * Successful completion of all training and regulatory requirements as identified in the applicable training plan * Must meet suitability for federal employment * Direct Deposit: All federal employees are required to have direct deposit * Please read this Public Notice in its entirety prior to submitting your application for consideration. * Males must be registered for Selective Service, see *********** * A security clearance may be required. This position may require a secret, top-secret or special sensitive clearance. * If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement. More information on PCS requirements, may be found at: ***************************************** * More information on PCS requirements, may be found at: ***************************************** * Position may be subject to random drug testing * U.S. Citizenship Required * Disclosure of Political Appointments * Student Loan Repayment may be authorized * Recruitment Incentive may be authorized for this position * Total salary varies depending on location of position * You will be required to serve a one year probationary period * Grade Point Average - 2.95 or higher out of a possible 4.0 * Mobility - you may be required to relocate during or after completion of your training * Work may occasionally require travel away from the normal duty station on military or commercial aircraft Qualifications BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. You may qualify if you meet one of the following: 1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following: a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. 2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas: 1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures. 2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly. 3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis. 4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts. 5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions. 6. Ability to plan and organize work and confer with co-workers effectively. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation. FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Additional information For DHA Positions: These positions are being filled under Direct-Hire Authority for the Department of Defense for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified post-secondary students and recent graduates directly into competitive service positions; these positions may be professional or administrative occupations and are located Air Force-Wide. Positions may be filled as permanent or term with a full-time or part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled in, and in good academic standing at a full-time program at an institution of higher education; and is making satisfactory progress toward receipt of a baccalaureate or graduate degree; and has completed at least one year of the program. * The term "recent graduate" means a person who was awarded a degree by an institution of higher education not more than two years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than four years. Selective Service: Males born after 12-31-59 must be registered or exempt from Selective Service. For additional information, click here. Direct Deposit: All federal employees are required to have direct deposit. If you are unable to apply online, view the following link for information regarding Alternate Application. The Vacancy ID is If you have questions regarding this announcement and have hearing or speech difficulties click here. Tax Law Impact for PCS: On 22-Dec-2017, Public Law 115-97 - the "Tax Cuts and Jobs Act of 2017" suspended qualified moving expense deductions along with the exclusion for employer reimbursements and payments of moving expenses effective 01-Jan-2018 for tax years 2018 through 2025. The law made taxable certain reimbursements and other payments, including driving mileage, airfare and lodging expenses, en-route travel to the new duty station, and temporary storage of those items. The Federal Travel Regulation Bulletin (FTR) 18-05 issued by General Services Administration (GSA) has authorized agencies to use the Withholding Tax Allowance (WTA) and Relocation Income Tax Allowance (RITA) to pay for "substantially all" of the increased tax liability resulting from the "2018 Tax Cuts and Jobs Act" for certain eligible individuals. For additional information on WTA/RITA allowances and eligibilities please click here. Subsequently, FTR Bulletin 20-04 issued by GSA, provides further information regarding NDAA FY2020, Public Law 116-92, and the expansion of eligibility beyond "transferred" for WTA/RITA allowances. For additional information, please click here. Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. For DHA Positions: These positions are being filled under Direct-Hire Authority for the DoD for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified students and recent graduates directly into competitive service positions; positions may be professional or administrative occupations and located Air Force-Wide. Positions may be filled as permanent/term with a full-time/part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled and in good academic standing at a full-time program at an institution of higher education; and is progressing toward a baccalaureate or graduate degree; and has completed at least 1 year of the program. * The term "recent graduate" means a person awarded a degree by an institution of higher education not more than 2 years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than 4 years. Your latest resume will be used to determine your qualifications. Your application package (resume, supporting documents, and responses to the questionnaire) will be used to determine your eligibility, qualifications, and quality ranking for this position. Please follow all instructions carefully. Errors or omissions may affect your rating or consideration for employment. Your responses to the questionnaire may be compared to the documents you submit. The documents you submit must support your responses to the online questionnaire. If your application contradicts or does not support your questionnaire responses, you will receive a rating of "not qualified" or "insufficient information" and you will not receive further consideration for this job. Applicants who disqualify themselves will not be evaluated further. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help The following documents are required and must be provided with your application for this Public Notice. Applicants who do not submit required documentation to determine eligibility and qualifications will be eliminated from consideration. Other documents may be required based on the eligibility/eligibilities you are claiming. Click here to view the AF Civilian Employment Eligibility Guide and the required documents you must submit to substantiate the eligibilities you are claiming. * Online Application - Questionnaire * Resume: Your resume may NOT exceed two pages, and the font size should not be smaller than 10 pts. You will not be considered for this vacancy if your resume is illegible/unreadable. Additional information on resume requirements can be located under "

Experience in executing projects in Agile Framework Understanding of machine learning and deep learning frameworks Understanding of generative models (e.g., GANs, VAEs, Transformers) and natural language processing. Understanding of natural language processing (NLP). Understanding of data preprocessing and model fine-tuning. Awareness of ethical considerations and bias mitigation strategies. Proficiency in programming language Python / C# Strong analytical and problem-solving skills. Base Salary Range: $110,000 - $145,000 per annum TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SV2 #LI-KUMARAN

Data Scientist II (2ppl) STATUS: Contingency - Announcement of Award Imminent SSC: Active Secret Security Clearance (required) SALARY: Please see labor category posted below SUMMARY: The Naval Surface Warfare Center, Port Hueneme Division (NSWC PHD) is part of the larger Naval Sea Systems Command. The NSWC PHD mission is to provide research, development, test and evaluation, and in-service engineering and logistics support to the U.S. Navy, other military services, and government agencies. Its focus areas include combat systems, unmanned systems, surface ship systems, and information systems. LABOR CATEGORIES: All positions require an Active Secret Clearance and experience in DoD Data Scientist II - $105,872.00 Desired Education: Bachelor's degree in a related technical field. Desired Experience: Three (3) years' experience with software integration or testing, including analyzing and implementing test plans and scripts. Experience with frequent scripting language use, such as Python and R and using packages commonly used in data science applications or advanced analytics. Experience with data science, data mining, statistics, or graph algorithms to support analytics objectives. COMPANY OVERVIEW DEL REY Systems & Technology, Inc. (DEL REY) is a small Veteran-owned defense contractor founded in 1995 and headquartered in San Diego, California. We are an equal opportunity employer and believe in recruiting and developing the very best professionals in the field. Although our corporate office is in California, we have employees supporting our customers from coast-to-coast and many states in-between. For employment consideration, please submit your resume to this posting in MS-Word and let us know the position for which you are applying. DEL REY is proud to offer competitive compensation and a comprehensive benefit package. Employee benefits include both a Traditional 401k and ROTH Retirement Accounts; Medical, Dental, Vision, FSA, Vacation, Sick, Basic Term Life Insurance, Employee Assistance Program and voluntary supplemental insurance. DEL REY complies with applicable Federal civil rights laws and does not discriminate. We welcome all applicants as we are always looking for skilled employees possessing a desire to join and contribute to an employee-focused company committed to sustaining superior customer satisfaction. For employment consideration, please respond to the job board where we have our posting or to our Career Page and reference the position which you are seeking. DISCLAIMER: The information in this job description indicates the general nature of the opportunity. It should not be construed as a complete or final description . *** Time-Sensitive - Apply if interested ***

Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it's powered by the anime content we all love. Join our team, and help us shape the future of anime! About the role In the role of Data Scientist, you will report to the Director of Machine Learning and Data Science. We are considering applicants for the location(s) of Los Angeles, CA or San Francisco. We are seeking a Data Scientist with skills and experience in using User Behavior Analytics and Modeling to kick start our effort to detect and deter account sharing by leveraging platform-collected data such as login patterns, device usage, IP addresses, and viewing behaviors. This position focuses on uncovering insights from large datasets to inform machine learning models that identify anomalous sharing activities, ultimately supporting revenue growth and subscriber retention strategies inspired by industry leaders like Netflix and Disney+. Core Areas of Responsibility Conduct exploratory data analysis on user session logs to establish baselines for normal and anomalous behaviors. Develop predictive models using statistical and machine learning techniques to forecast and segment user sharing patterns. Design and conduct experiments to validate the model accuracy and operations effectiveness. Collaborate with cross-functional teams to define data requirements and create frameworks for ongoing behavioral monitoring. Build visualizations and reports to communicate insights on user engagement and potential sharing risks to stakeholders. Ensure data privacy compliance while optimizing data pipelines for efficient operations. About You We get excited about candidates, like you, because you have the following: Experience: You have 5+ years in data science roles focused on behavioral analytics, preferably in tech or streaming industries, with proven success in user behavior modeling, anomaly and fraud detection, and related applications. Technical Skills: Proficient in Python for data analysis and modeling, SQL for database querying, and tools like Tableau or matplotlib for visualization, with experience in machine learning libraries such as xgboost, scikit-learn, and pytorch for modeling. Cross-Functional Collaborations: Skilled at partnering with engineering, product, and legal teams to align analytics with business objectives and integrate findings into product features. Communication Skills: Adept at presenting complex behavioral insights in clear, actionable formats to non-technical audiences through reports and visualizations. Education Background: Hold a master's degree in data science, statistics, computer science, or a related field, with coursework in behavioral economics or psychology being advantageous. About the Team You will join an interdisciplinary team of Data Scientists, Machine Learning Engineers, and AI Engineers, united by a passion for leveraging data and ML/AI to create transformative solutions. Our team delivers both consumer-facing product features that enhance the streaming experience for millions of users and stakeholder-oriented solutions that empower internal teams with actionable insights. From building personalized recommendation systems to developing innovative tools like our stakeholder-facing chatbot, we combine cutting-edge machine learning, robust data pipelines, and advanced AI to drive impact across the organization. Collaboration, creativity, and a commitment to excellence define our team's culture as we work together to push the boundaries of what's possible in streaming and data-driven decision-making. Why you will love working at Crunchyroll In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks: Receive a great compensation package including salary plus performance bonus earning potential, paid annually. Flexible time off policies allowing you to take the time you need to be your whole self. Generous medical, dental, vision, STD, LTD, and life insurance Health Saving Account HSA program Health care and dependent care FSA 401(k) plan, with employer match Employer paid commuter benefit Support program for new parents Pet insurance and some of our offices are pet friendly! #LifeAtCrunchyroll #LI-Hybrid The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Crunchyroll's Total Rewards offerings for employees. Other rewards may include performance bonuses, employer matched retirement savings, time-off programs, and progressive health benefits and perks.Pay Transparency - Los Angeles, CA$168,000-$210,000 USDAbout our Values We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value Courage. We believe that when we overcome fear, we enable our best selves. Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding. Kaizen. We have a growth mindset committed to constant forward progress. Service. We serve our community with humility, enabling joy and belonging for others. Our commitment to diversity and inclusion Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business. We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation. Questions about Crunchyroll's hiring process? Please check out our Hiring FAQs: https://help.crunchyroll.com/hc/en-us/articles/3**********2-Crunchyroll-Hiring-FAQs Please refer to our Candidate Privacy Policy for more information about how we process your personal information, and your data protection rights: ********************************************************************************************************** Please beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly ********************* email account.

About Latham & Watkins Latham & Watkins is a global law firm consistently ranked among the top firms in the world. The success of our firm is largely determined by our commitment to hire and develop the very best and brightest, creating a team that provides our clients with the highest quality of work and service. We are driven by our core values: respect, innovation, and collaboration. About the Role The Senior Data Scientist - AI is responsible for research, development, and deployment of advance machine learning models that can generate actionable insights and power intelligent applications. This role goes beyond traditional data science, focusing on building, scaling and operationalizing AI/ML solutions to support business workflows. The Senior Data Scientist will design and train models for predictive and prescriptive modeling on complex data as well as develop and fine-tune NLP/GenAI models for integration into custom applications and workflows. They will also support the development and maintenance of internal AI/ML and data science applications utilizing tools such as Python, RAPIDs and modern data visualization platforms (e.g., Tableau). Working closely with stakeholders from various business units, these projects require the ability to lead others while providing expert guidance to deliver creative and practical solutions to improve the operations of a global workforce. This role will be located in our Downtown Los Angeles office. Please note that this role may be eligible for a flexible working schedule that allows for a hybrid and in-office presence. Responsibilities & Qualifications Other key responsibilities include: Liaising with stakeholders and the machine learning team to identify data science opportunities and define requirements Analyzing data patterns and applying appropriate models and solutions for regression analysis, forecasting, probability analysis, and trending Designing data extractions, cleansing, and transformations connecting disparate data sets through complex SQL queries Delivering actionable findings via Tableau and PowerPoint presentations to senior leadership Monitoring production models and infrastructure for ongoing maintenance, configuration changes, and improvements, ensuring scalability, reliability, and efficiency Protecting and maintaining any highly sensitive, confidential, privileged, financial, and/or proprietary information that Latham & Watkins retains We'd love to hear from you if you: Demonstrate proficiency in building data science models using Python/R Exhibit SQL proficiency to extract and connect data from multiple systems Possess knowledge and experience with a wide variety of software programs, including MS Azure, AWS, and Power Apps And have: A bachelor's degree in computer science or a related field or appropriate work experience A minimum of seven (7) years of hands-on experience in delivering data science solutions and analytical models driving critical business decision-making, with a minimum of three (3) years of specifically using Python A minimum of three (3) years of experience in a senior capacity delivering data science solutions Benefits & Additional Information Successful candidates will not only be provided with an outstanding career opportunity and welcoming environment, but will also be provided with a generous total compensation package with bonuses awarded in recognition of both individual and firm performance. Eligible employees can participate in Latham's comprehensive benefit program which includes: Healthcare, life and disability insurance A generous 401k plan At least 11 paid holidays per year, and a PTO program that accrues 23 days during the first year of employment and grows with tenure Well-being programs (e.g. mental health services, mindfulness and resiliency, medical resources, well-being events, and more) Professional development programs Employee discounts Affinity groups, networks, and coalitions for lawyers and staff Latham & Watkins is an equal opportunity employer. The Firm prohibits discrimination against any employee or applicant for employment on the basis of race (including, but not limited to, hair texture and protective hairstyles), color, religion, sex, age, national origin, sexual orientation, gender identity, veteran status (including veterans of the Vietnam era), gender expression, marital status, or any other characteristic or condition protected by applicable statute. Latham & Watkins LLP will consider qualified applicants with criminal histories in a manner consistent with the City of Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO) . Please click the link below to review the Ordinance. Please click here to review your rights under U.S. employment laws. #MidSenior #LI-JB1 Pay Range USD $160,000.00 - USD $180,000.00 /Yr.

X Consultants, Inc. is seeking Senior Data Analyst Overview of Key Duties and Responsibilities: Work with a team to develop creative environmental project strategies and prepare work scopes of work. Participate in the preparation and implementation of work plans for site assessments and monitoring programs. Prepare technical reports with a focus on regulatory compliance, accuracy, clarity, succinctness, and document QA/QC Provide technical and general field support/oversight on various environmental site assessments including but not limited to soil vapor, soil, sediment, and groundwater Perform Groundwater monitoring purging and sampling utilizing stand volume purge and low flow methodologies Observe drilling and monitoring well installation and classifying soil and bedrock samples Peer review environmental site assessment reports prepared by other consultants Evaluate and interpret technical analytical data relative to project-specific clean-up goals or applicable screening levels Participate in communication with clients and regulatory oversight agencies Provide training and mentorship to junior staff This Job Might Be For You If You Have The Following: Minimum B.A./B.S. in Environmental Engineering, Geology, Environmental Science, or another related field Professional Engineer or Professional Geologist license (preferred) 3 to 5 years of related experience Passion for the environment and science A willingness to assist in training junior staff in field related procedures Highly motivated with excellent technical writing and documentation skills Ability to work independently and as part of a team Familiar with Phase I ESA ASTM/AAI requirements Currently have or willing to obtain a OSHA 40 Hour HAZWOPER certification Experience installing soil vapor and groundwater monitoring wells Experience performing Groundwater purging and sampling with the use of various groundwater monitoring pumps and water quality indicator meters (preferred) Experience accurately preparing soil boring logs, hydrographs, groundwater contour maps, field notes, sketches and other documentation of actions undertaken during site investigation and remediation projects Proficient understanding off current groundwater and soil sampling methods Excellent verbal, interpersonal, and written communication skills Rincon Consultants, Inc. is an award-winning leader in providing quality environmental consulting services throughout California. Recognized as the #1 ‘Best Environmental Services Firm to Work For' by the Zweig Group in 2021, our 400+ associates in 12 offices are dedicated professionals who combine their passion with our purpose. We partner with clients in sectors such as transportation, energy and infrastructure, oil and gas, water, commercial, private development, and government. The base salary range for this full-time position is $54,000-$85,000, plus benefits and bonus. At Rincon, our salary ranges are based on market median of similar jobs, according to third party salary benchmark surveys. The base pay that is actually offered will take into account internal equity and also may vary depending on the candidate's job-related knowledge, skills, and experience. Total Rewards Package* Includes: HMO, PPO, HDHP, Health Savings Account options Three Weeks Vacation accrued in the first year 401(k) / Profit Sharing Retirement Plan 2x/Year Bonus Opportunities Paid Sick Leave Eight Paid Holidays Flexible Spending & Dependent Care Employer-paid life and long-term disability insurance Dental, vision, prescription drug Supplemental life insurance Volunteer Pay for a Day Legal Shield, Identity Protection, Pet Insurance Professional Development Mentoring Patagonia Merchandise Partnership And much more!

Job DescriptionOur Mission Launched in 2012, Tinder revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™" Our Values One Team, One Dream We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own It We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop Learning We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark Solutions We're problem solvers, focusing on how to best move forward when faced with obstacles. We don't dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The Team The Data Science & Analytics team thrives on data-driven insights to make more informed decisions through our insights into our member's behavior, preferences, and common trends. We take ownership over the integrity of our data and work to improve data literacy across Tinder. Recommendations (Recs) is core to Tinder's experience-covering ranking, retrieval, signals, and model evaluation-to improve match quality, conversations, retention, and revenue through principled ML and experimentation. As a Senior Data Scientist on the Recommendations (Recs) team, you will partner closely with Product, Engineering, and Machine Learning (ML) to identify and size new opportunities, strengthen existing algorithms, and shape measurement and experimentation across a two-sided marketplace. You'll build the tooling and dashboards needed for crisp reads and health monitoring, communicate insights and tradeoffs with executive clarity, and serve as a trusted, respected partner to the Recs pod and a mentor for the broader Data Science team. This role will be given wide latitude but high expectations for the development of analyses, models, and plans that will be shared directly with the executive team and help shape the trajectory of our product roadmap. Where you'll work:This is a hybrid role and requires in-office collaboration three times per week in Los Angeles, Palo Alto or San Francisco. In this role, you will: Work closely with Product, Engineering, and ML to identify and evaluate new opportunities; frame hypotheses, define success metrics and guardrails, and translate findings into clear product recommendations. Support the ML team in improving algorithms across retrieval, ranking, and personalization; strengthen offline/online evaluation and alignment. Define and lead experimentation design and analysis tailored to a two‑sided marketplace; drive meta-analyses and playbooks that uplevel reads and decision quality. Build tools and dashboards to improve experiment reads and KPI monitoring; standardize templates and health checks for fast, reliable iteration. Deliver executive-ready presentations and docs that clarify options, tradeoffs, risks, and expected business impact. Be a trusted and respected partner for the Recs pod, focused on delivering the best recommendations for our worldwide member base. Mentor and inspire other data scientists; review analyses and elevate experimentation, causal inference, and model evaluation practices across the team. You'll Need: Bachelor's, Master's, and/or Ph.D. degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, or related fields). 5+ years of professional experience in data science/analytics, with meaningful time in recommender systems, ranking, search, or personalization at consumer scale (or equivalent impact/complexity). Fluency in SQL and Python (required). Deep understanding of statistics and causal inference; hands-on experience designing and analyzing online experiments (A/B, variance reduction, sequential testing) and applying quasi-experimental methods when appropriate. Strong product sense and analytical rigor; ability to frame the right questions, choose fit-for-purpose methods, and land actionable recommendations with cross-functional partners. Familiarity with machine learning for recommendations, including offline/online metric design and model evaluation for ranking/personalization use cases. Nice to have: Experience with modern Recs stacks (e.g., retrieval/two‑tower, learning‑to‑rank, embeddings/feature stores) and counterfactual evaluation approaches (IPS/DR, switchback tests). Working knowledge of Spark or similar large‑scale data tools and MLOps concepts (feature stores, evaluation pipelines, drift/monitoring). Two‑sided marketplace intuition and guardrail design to protect ecosystem health. Track record of mentorship, thought leadership, and cross‑functional influence. As a full-time employee, you'll enjoy: Unlimited PTO (with no waiting period), 10 annual Wellness Days Time off to volunteer and charitable donations matching Comprehensive health, vision, and dental coverage 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP) 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual stipend for your professional development Investment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy Free premium subscriptions for several Match Group apps - including Tinder Platinum! Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.#Tinder Commitment to Inclusion At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: ******************************** If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Marketing science - a sub-team within marketing analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+ and Star) - is in search of an econometrician to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The analyst plays a hands-on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative-building are integral to the success of this role. Responsibilities * Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams * Quantify ROI on marketing investment, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts * Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross-validate model results * Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc) * Support long-term MMM (et.al.) automation, productionalization and scale with support from data engineering and product * Build out front-end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels and subscriber types Basic Qualifications * Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study * 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices * Coursework or direct experience in applied econometric modeling, ideally in support of measure marketing efficiency and optimize spend, flighting and mix to maximize return on ad spend (i.e., MMM) * Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement * Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy * Exposure to / familiarity with with BI/data concepts and experience building out self-service marketing data solutions * Strong coding experience in one (or more) data programming languages like Python/R * Ability to draw insights and conclusions from data to inform model development and business decisions * Experience in SQL Preferred Qualifications * Masters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered. About Disney Direct to Consumer: Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer. Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

EXAM NUMBER: PH1763C-EA TYPE OF RECRUITMENT: OPEN COMPETITIVE - EMERGENCY FIRST DAY OF FILING: The application filing period will begin on Thursday, July 17, 2025 at 8:30 a.m. (PT) - Continuous. We will keep accepting applications until the position is filled. The application window may close unexpectedly once we have enough qualified candidates. The LA County Board of Supervisors recently declared a local state of emergency for homelessness, and the County is working to revise and expand our response to help all who are affected. We are looking for qualified and passionate individuals to help us in the mission of addressing issues like housing, mental health, and substance use. If you are looking for a new career that will directly benefit the population of LA County, this may be the opportunity for you. The County of Los Angeles Department of Public Health is seeking qualified candidates to fill emergency Data Scientist vacancies related to the homelessness crisis. Under the emergency order, applicants who meet the requirements may be hired for an initial period of up to 90 days, with an opportunity for permanent County employment. Before the end of your initial work period, you will be assessed on your work performance. This assessment will be weighted 100%. Those who successfully pass the assessment will be considered for permanent appointment to Data Scientist. The Data Scientist positions are located within the Evaluation Section of the Health Outcomes and Data Analytics (HODA) Division of the Substance Abuse Prevention & Control (SAPC) Bureau. The Data Scientist will support data collection and evaluation of services for the CalAIM JI Initiative. The Data Scientist will handle local and state data reports, evaluate program effectiveness (e.g., treatment linkage, timely access, care coordination), and collaborate closely with SAPC's System of Care, IT, Sage Management Divisions, and external stakeholders. DEFINITION: Under general supervision, develops and applies methods to identify, collect, process, organize, and analyze structured and unstructured data using statistical prediction, inference, and optimization; effectively communicates results to County, departmental, and divisional decision makers to support data-driven program design and management. CLASSIFICATION STANDARDS: This is the second working level in the professional data science/analysis series. Positions allocable to this class work under the general direction of a Data Science Supervisor or supervisor or manager responsible for the data analytics, research, or statistical function of a department, independently performing duties of considerable difficulty to complete moderately complex projects or major aspects of large/complex projects that may be divisional, departmental, or Countywide in scope. Incumbents deploy techniques such as data extraction, transformation, and loading; classical statistical analysis and machine learning, including predictive and prescriptive modeling and optimization; and data visualization, to generate critical information and knowledge and effectively communicate findings to technical and nontechnical stakeholders to support data-driven program design, management, and decision-making. Incumbents work with data sets characterized by large volume, moderate complexity, and significant heterogeneity, integrating data from various sources, requiring direct collaboration with data engineers and other IT staff to design and provide feedback on data systems and processes necessary to support their work. Data Scientist is distinguished from the Senior Data Scientist in that the latter applies subject-matter expertise to identify new and emerging business problems, whereas the Data Scientist works under general supervision to develop methods of interrogating data in order to solve previously identified business problems. The Data Scientist is distinguished from the Predictive Data Analyst in that the latter applies well-established analytic principles, methods, and procedures within existing data systems and architectures to complete well-defined, routine to moderately difficult functions and projects, whereas Data Scientists may develop or assist in developing new analytic methods, functions, and data architectures as necessary to complete complex projects, including those involving unstructured data. Positions in this class differ from those that plan, design, conduct and evaluate research projects involving complex experimental designs and data analysis, programming, and processing of data, and preparing reports and recommendations based on research findings, in that these classes do not employ machine learning or big data as part of their analyses. * Handles data requests from California and Los Angeles County Correctional Facilities regarding individual's substance use disorder (SUD) treatment history by verifying Releases of Information (ROI) and conducting data mining and analysis across multiple datasets in Sage (e.g., screening/assessments, CalOMS, claims) to respond timely and effectively; maintains transparency through detailed records of all data requests, analyses, and outcomes. * Develops and implement advanced data science projects to evaluate CalAIM JII's effectiveness by analyzing key metrics such as treatment linkage, timely access, professional-to-professional warm hand-off, and care coordination outcomes. Collaborates with SAPC divisions and stakeholders to provide data insights for strategic decisions, program improvement, and impact maximization. * Contributes to the design and continuous improvement of data collection methods and performance indicators for pre-release and post-release services, ensuring effective coordination with Correctional Facility Pre and post-release Care Managers. * Utilizes advanced statistical and machine learning methods to uncover trends, predict outcomes, and inform interventions. Develop and maintain dashboards and reports to present findings to stakeholders and program leadership. * Uses analytical software (e.g., SAS, R, Python), other computer languages (e.g., SQL), data visualization tools (e.g., SAS Visual Analytics, Power BI, Tableau), and advanced data visualization techniques to develop and present data visualizations of findings and recommendations from evaluation and predictive modeling projects to support SAPC's data-driven policy and operational decisions for SAPC's CalAIM JII implementation. TRAINING AND EXPERIENCE: OPTION I: Two (2) years of experience applying advanced statistical analyses, including predictive analytics, to produce actionable recommendations to support data-driven program, policy, and operational decision-making, at a level equivalent to the Los Angeles County class of Predictive Data Analyst*. OPTION II: A Bachelor's degree from an accredited college in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that included 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis. -AND- Four (4) years of experience applying machine learning, predictive analytics, data management, and hypothesis-driven data analysis to produce actionable recommendations to support data-driven program, policy, and operational decision-making. A Master's or Doctoral degree* from an accredited college or university in a field of applied research such Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health may substitute for up to two (2) years of experience. LICENSE: A valid California Class C Driver License or the ability to utilize alternative method of transportation when needed to carry out job-related essential functions. PHYSICAL CLASS: Physical Class II - Light : This class includes administrative and clerical positions requiring light physical effort that may include occasional light lifting to a 10 pound limit and some bending, stooping, or squatting. Considerable ambulation may be involved. SPECIAL REQUIREMENT INFORMATION: You MUST meet the above requirement(s) in order to be appointed to fill any vacancies related to this recruitment. * Experience at the level of Predictive Data Analyst is defined as using machine learning techniques to analyze complex data sets and find statistically significant, meaningful predictive patterns, relevant to program goals, that human intelligence could not identify on its own. In order to receive credit for any type of college or university course work you must attach a legible copy of the Official Transcript(s) from the accredited institution, which shows the area of specialization and the date the degree was awarded, with Registrar's signature and school seal, with your application online at the time of filing or within seven (7) calendar days from application submission to *********************** or your application may be rejected. * To receive credit for your Master's or Doctorate degree, you must attach a legible copy of the Official Diploma, Official Transcript(s), or Official Letter from the accredited institution, which shows the area of specialization and the date the degree was awarded, with Registrar's signature and school seal, to the application or within seven (7) calendar days from application submission to ***********************. The document should show the date the degree was conferred and be in English; if it is in a foreign language, it must be translated and evaluated for equivalency to U.S. standards. * For more information on our standards for educational documents, please visit: ******************************************************** and ***************************************************************************** * Accredited institutions are those listed in the publications of regional, national, or international accrediting agencies, which are accepted by the Department of Human Resources (DHR). Publications such as American Universities and Colleges and International Handbook of Universities are acceptable references. Also acceptable, if appropriate, are degrees that have been evaluated and deemed to be equivalent to degrees from United States accredited institutions by an academic credential evaluation agency recognized by The National Association of Credential Evaluation Services (NACES) or the Association of International Credential Evaluators, Inc. (AICE). (see Employment Information under Accreditation Information). * Official Transcript is defined as a transcript that bears the college seal and states "official and/or copy" issued by the school's registrar office. A printout of the transcript from the school's website is NOT considered official and will not be accepted and may result in your application being incomplete and rejected. * We do not accept password-protected documents. Ensure documents are unlocked before attaching to your application or sending to the exam analyst. EXAMINATION CONTENT: During your initial work period, the appointing department will evaluate your performance. Those who achieve a passing score on this evaluation will be considered for permanent appointment. _______________________________________________________________ Application and Filing Information HOW TO APPLY: Applications must be filed ONLINE ONLY and will be reviewed for interview consideration on an ongoing basis. If you have not been contacted within 60 days and the recruitment remains open or reopens for filing, we encourage you to submit a new application. This will allow you to reaffirm your interest and update any relevant information. Many important notifications will be sent electronically to the email address provided on the application, so it is important that you provide a valid email address. Please add *********************** as well as noreply@governmentjobs.com, and *********************** to your email address and list of approved senders to prevent email notifications from being filtered as spam/junk/clutter mail. You have the ability to opt out of emails from LA County. If you unsubscribe, you will not receive any email notification for any examination for which you apply with Los Angeles County. Regardless of whether you choose to unsubscribe, you can always check for notifications by logging into governmentjobs.com and viewing your profile inbox, which saves a copy of all emailed notices. Plan to submit your online application well in advance as you may be required to verify your email address. This only needs to be done once per email address, and if you already have a job seeker account on **************************************** you can verify at any time by logging in and following the prompts. This is to enhance the security of your online application and to ensure you do not enter an incorrect email address. IMPORTANT NOTES: * Please note that ALL information supplied by applicants and included in the application materials is subject to VERIFICATION at any point during the examination and hiring process, including after an appointment has been made. * Applications may be rejected at any stage of the examination and selection process. * FALSIFICATION of any information may result in DISQUALIFICATION or RESCISSION OF APPOINTMENT. * Utilizing VERBIAGE from Class Specification(s) and/or Minimum Requirements serving as your description of duties WILL NOT be sufficient to demonstrate that you meet the requirements. In doing so your application will be dispositioned as INCOMPLETE and will not be accepted. * Comments such as "SEE RESUME" or "SEE APPLICATION" will not be considered a valid response; therefore, using such statements will also result in your application being rejected as INCOMPLETE. SOCIAL SECURITY NUMBER: Federal law requires that all employed persons have a Social Security Number, so include yours when applying. COMPUTER AND INTERNET ACCESS AT PUBLIC LIBRARIES: For candidates who may not have regular access to a computer or the internet, applications can be completed on computers at public libraries throughout Los Angeles County. Check the website for updated information at **************************** DO NOT SHARE USER ID AND PASSWORD: All applicants must file their application online using their OWN user ID and password. Using a family member or friend's user ID and password may erase a candidate's original application record. ANTI-RACISM, DIVERSITY, AND INCLUSION (ARDI): The County of Los Angeles recognizes and affirms that all people are created equal and are entitled to all rights afforded by the Constitution of the United States. The Department of Public Health is committed to promoting Anti-racism, Diversity, and Inclusion efforts to address the in equalities and disparities amongst race. We support the ARDI Strategic Plan and its goals by improving equality, diversity, and inclusion in recruitment, selection, and employment practices. Department Contact Name: Exam Analyst Department Contact Phone: ************** Department Contact E-mail: *********************** Exam Number: PH1763C-EA California Relay Services Phone: ************** ADA Coordinator Phone: ************** Teletype Phone: ************** Alternate Teletype Phone: **************

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Summary The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Overview Help Accepting applications Open & closing dates 09/29/2025 to 09/28/2026 Salary $49,960 to - $99,314 per year Total salary varies depending on location of position Pay scale & grade GS 7 - 9 Locations Gunter AFB, AL Few vacancies Maxwell AFB, AL Few vacancies Davis Monthan AFB, AZ Few vacancies Edwards AFB, CA Few vacancies Show morefewer locations (44) Los Angeles, CA Few vacancies Travis AFB, CA Few vacancies Vandenberg AFB, CA Few vacancies Air Force Academy, CO Few vacancies Buckley AFB, CO Few vacancies Cheyenne Mountain AFB, CO Few vacancies Peterson AFB, CO Few vacancies Schriever AFB, CO Few vacancies Joint Base Anacostia-Bolling, DC Few vacancies Cape Canaveral AFS, FL Few vacancies Eglin AFB, FL Few vacancies Hurlburt Field, FL Few vacancies MacDill AFB, FL Few vacancies Patrick AFB, FL Few vacancies Tyndall AFB, FL Few vacancies Robins AFB, GA Few vacancies Hickam AFB, HI Few vacancies Barksdale AFB, LA Few vacancies Hanscom AFB, MA Few vacancies Natick, MA Few vacancies Aberdeen Proving Ground, MD Few vacancies Andrews AFB, MD Few vacancies White Oak, MD Few vacancies Offutt AFB, NE Few vacancies Holloman AFB, NM Few vacancies Kirtland AFB, NM Few vacancies Nellis AFB, NV Few vacancies Rome, NY Few vacancies Heath, OH Few vacancies Wright-Patterson AFB, OH Few vacancies Tinker AFB, OK Few vacancies Arnold AFB, TN Few vacancies Dyess AFB, TX Few vacancies Fort Sam Houston, TX Few vacancies Goodfellow AFB, TX Few vacancies Lackland AFB, TX Few vacancies Randolph AFB, TX Few vacancies Hill AFB, UT Few vacancies Arlington, VA Few vacancies Dahlgren, VA Few vacancies Langley AFB, VA Few vacancies Pentagon, Arlington, VA Few vacancies Fairchild AFB, WA Few vacancies Warren AFB, WY Few vacancies Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Internships Work schedule Full-time Service Competitive Promotion potential 13 Job family (Series) * 1560 Data Science Series Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Noncritical-Sensitive (NCS)/Moderate Risk Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number K-26-DHA-12804858-AKK Control number 846709300 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Students Current students enrolled in an accredited high school, college or graduate institution. Recent graduates Individuals who have graduated from an accredited educational institute or certificate program within the last 2 years or 6 years for Veterans. Clarification from the agency This public notice is to gather applications that may or may not result in a referral or selection. Duties Help 1. Performs developmental assignments in support of projects assigned to higher level analysts. Performs minor phases of a larger assignment or work of moderate difficulty where procedures are established, and a number of specific guidelines exist. Applies the various steps of accepted data science procedures to search for information and perform well precedented work. 2. Performs general operations and assignments for portions of a project or study consisting of a series of interrelated tasks or problems. The employee applies judgment in the independent application of methods and techniques previously learned. The employee locates and selects the most appropriate guidelines and modifies to address unusual situations. 3. Participates in special initiatives, studies, and projects. Performs special research tasks designed to utilize and enhance knowledge of work processes and techniques. Works with higher graded specialists in planning and conducting special initiatives, studies, and projects. Assists in preparing reports and briefings outlining study findings and recommendations. 4. Prepares correspondence and other documentation. Drafts or prepares a variety of documents to include newsletter items, responses to routine inquiries, reports, letters, and other related documents. Requirements Help Conditions of employment * Employee must maintain current certifications * Successful completion of all training and regulatory requirements as identified in the applicable training plan * Must meet suitability for federal employment * Direct Deposit: All federal employees are required to have direct deposit * Please read this Public Notice in its entirety prior to submitting your application for consideration. * Males must be registered for Selective Service, see *********** * A security clearance may be required. This position may require a secret, top-secret or special sensitive clearance. * If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement. More information on PCS requirements, may be found at: ***************************************** * More information on PCS requirements, may be found at: ***************************************** * Position may be subject to random drug testing * U.S. Citizenship Required * Disclosure of Political Appointments * Student Loan Repayment may be authorized * Recruitment Incentive may be authorized for this position * Total salary varies depending on location of position * You will be required to serve a one year probationary period * Grade Point Average - 2.95 or higher out of a possible 4.0 * Mobility - you may be required to relocate during or after completion of your training * Work may occasionally require travel away from the normal duty station on military or commercial aircraft Qualifications BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. You may qualify if you meet one of the following: 1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following: a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. 2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas: 1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures. 2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly. 3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis. 4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts. 5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions. 6. Ability to plan and organize work and confer with co-workers effectively. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation. FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Additional information For DHA Positions: These positions are being filled under Direct-Hire Authority for the Department of Defense for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified post-secondary students and recent graduates directly into competitive service positions; these positions may be professional or administrative occupations and are located Air Force-Wide. Positions may be filled as permanent or term with a full-time or part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled in, and in good academic standing at a full-time program at an institution of higher education; and is making satisfactory progress toward receipt of a baccalaureate or graduate degree; and has completed at least one year of the program. * The term "recent graduate" means a person who was awarded a degree by an institution of higher education not more than two years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than four years. Selective Service: Males born after 12-31-59 must be registered or exempt from Selective Service. For additional information, click here. Direct Deposit: All federal employees are required to have direct deposit. If you are unable to apply online, view the following link for information regarding Alternate Application. The Vacancy ID is If you have questions regarding this announcement and have hearing or speech difficulties click here. Tax Law Impact for PCS: On 22-Dec-2017, Public Law 115-97 - the "Tax Cuts and Jobs Act of 2017" suspended qualified moving expense deductions along with the exclusion for employer reimbursements and payments of moving expenses effective 01-Jan-2018 for tax years 2018 through 2025. The law made taxable certain reimbursements and other payments, including driving mileage, airfare and lodging expenses, en-route travel to the new duty station, and temporary storage of those items. The Federal Travel Regulation Bulletin (FTR) 18-05 issued by General Services Administration (GSA) has authorized agencies to use the Withholding Tax Allowance (WTA) and Relocation Income Tax Allowance (RITA) to pay for "substantially all" of the increased tax liability resulting from the "2018 Tax Cuts and Jobs Act" for certain eligible individuals. For additional information on WTA/RITA allowances and eligibilities please click here. Subsequently, FTR Bulletin 20-04 issued by GSA, provides further information regarding NDAA FY2020, Public Law 116-92, and the expansion of eligibility beyond "transferred" for WTA/RITA allowances. For additional information, please click here. Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. For DHA Positions: These positions are being filled under Direct-Hire Authority for the DoD for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified students and recent graduates directly into competitive service positions; positions may be professional or administrative occupations and located Air Force-Wide. Positions may be filled as permanent/term with a full-time/part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled and in good academic standing at a full-time program at an institution of higher education; and is progressing toward a baccalaureate or graduate degree; and has completed at least 1 year of the program. * The term "recent graduate" means a person awarded a degree by an institution of higher education not more than 2 years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than 4 years. Your latest resume will be used to determine your qualifications. Your application package (resume, supporting documents, and responses to the questionnaire) will be used to determine your eligibility, qualifications, and quality ranking for this position. Please follow all instructions carefully. Errors or omissions may affect your rating or consideration for employment. Your responses to the questionnaire may be compared to the documents you submit. The documents you submit must support your responses to the online questionnaire. If your application contradicts or does not support your questionnaire responses, you will receive a rating of "not qualified" or "insufficient information" and you will not receive further consideration for this job. Applicants who disqualify themselves will not be evaluated further. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help The following documents are required and must be provided with your application for this Public Notice. Applicants who do not submit required documentation to determine eligibility and qualifications will be eliminated from consideration. Other documents may be required based on the eligibility/eligibilities you are claiming. Click here to view the AF Civilian Employment Eligibility Guide and the required documents you must submit to substantiate the eligibilities you are claiming. * Online Application - Questionnaire * Resume: Your resume may NOT exceed two pages, and the font size should not be smaller than 10 pts. You will not be considered for this vacancy if your resume is illegible/unreadable. Additional information on resume requirements can be located under "

Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it's powered by the anime content we all love. Join our team, and help us shape the future of anime! About the role In the role of Data Scientist, you will report to the Director of Machine Learning and Data Science. We are considering applicants for the location(s) of Los Angeles, CA or San Francisco. We are seeking a skilled Data Scientist to join our innovative team, working closely with Senior Data Scientists and Machine Learning Engineers to maintain, enhance, and innovate our suite of machine learning and AI-driven models and services. This role will focus on critical areas such as churn and winback predictions, predictive lifetime value (LTV), financial forecasting, title- and catalog-level KPI forecasting (e.g., acquisition, viewership), high-value action analysis in subscriber lifecycle management, user behavior modeling with applications in fraud-detection and recommendation systems. The ideal candidate will bring a strong foundation in statistical and machine learning fundamentals, coupled with expertise in modern data science tech stacks, to drive impactful solutions for both consumer-facing and stakeholder-oriented initiatives. Core Areas of Responsibility Develop and implement new models or enhancements to drive innovation in predictive analytics and personalized user experiences. Analyze large-scale datasets to uncover insights, identify trends, and inform model development and optimization. Apply statistical and machine learning techniques to solve complex business problems and improve model performance. Work with modern data processing tools, modeling frameworks, MLOps pipelines, and cloud infrastructure to ensure efficient and scalable workflows. Partner with cross-functional teams, including Machine Learning Engineers, AI Engineers, and Platform/Software Engineers, to integrate models into production environments. Document methodologies, experiments, and findings to support team collaboration and knowledge sharing. Stay current with advancements in data science, machine learning, and related technologies to bring cutting-edge approaches to our solutions. About You Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field . Strong understanding of statistical and machine learning fundamentals and their practical applications. Proven experience in developing and optimizing machine learning models for predictive analytics, forecasting, or recommendation systems. Proficiency in Python and familiarity with data science libraries such as pandas, NumPy, scikit-learn, statsmodels, TensorFlow, or PyTorch. Experience with modern data processing tools (e.g., Apache Spark, SQL) and cloud infrastructure and services (e.g., AWS, Google Cloud, Databricks). Familiarity with MLOps practices and tools (e.g., Version Control, Pipelines, Containerization, and Orchestration) for model testing, deployment and monitoring. Strong analytical and problem-solving skills with a focus on delivering actionable insights. Excellent communication and collaboration skills to work effectively with interdisciplinary teams. Pluses Experience with churn prediction, customer lifetime value modeling, financial forecasting with time series or deep learning models, or recommendation systems in a consumer-facing industry. Knowledge of advanced statistical methods, such as Bayesian modeling or causal inference. Understanding of subscriber lifecycle management and high-value action analysis. Comfortable with imperfect and evolving data, working with “raw” data such as events, and seeking solutions to improve data qualities. About the Team You will join an interdisciplinary team of Data Scientists, Machine Learning Engineers, and AI Engineers, united by a passion for leveraging data and ML/AI to create transformative solutions. Our team delivers both consumer-facing product features that enhance the streaming experience for millions of users and stakeholder-oriented solutions that empower internal teams with actionable insights. From building personalized recommendation systems to developing innovative tools like our stakeholder-facing chatbot, we combine cutting-edge machine learning, robust data pipelines, and advanced AI to drive impact across the organization. Collaboration, creativity, and a commitment to excellence define our team's culture as we work together to push the boundaries of what's possible in streaming and data-driven decision-making. Why you will love working at Crunchyroll In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks: Receive a great compensation package including salary plus performance bonus earning potential, paid annually. Flexible time off policies allowing you to take the time you need to be your whole self. Generous medical, dental, vision, STD, LTD, and life insurance Health Saving Account HSA program Health care and dependent care FSA 401(k) plan, with employer match Employer paid commuter benefit Support program for new parents Pet insurance and some of our offices are pet friendly! #LifeAtCrunchyroll #LI-Hybrid The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Crunchyroll's Total Rewards offerings for employees. Other rewards may include performance bonuses, employer matched retirement savings, time-off programs, and progressive health benefits and perks.Pay Transparency - Los Angeles, CA$167,000-$209,000 USDAbout our Values We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value Courage. We believe that when we overcome fear, we enable our best selves. Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding. Kaizen. We have a growth mindset committed to constant forward progress. Service. We serve our community with humility, enabling joy and belonging for others. Our commitment to diversity and inclusion Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business. We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation. Questions about Crunchyroll's hiring process? Please check out our Hiring FAQs: https://help.crunchyroll.com/hc/en-us/articles/3**********2-Crunchyroll-Hiring-FAQs Please refer to our Candidate Privacy Policy for more information about how we process your personal information, and your data protection rights: ********************************************************************************************************** Please beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly ********************* email account.

Salary Range: $9,333.00 - $12,576.46 Monthly Housing for Health (HFH) is a program office within Community Programs, a division under the Los Angeles County Department of Health Services (DHS). HFH was created and put into implementation in support of the Los Angeles County Homeless Initiative recommendations in response to and in support of the County's effort to address and combat homelessness in the communities residing within Los Angeles County. Our organization follows a hybrid work structure where employees work both remotely and from the office, as needed. On November 5, 2024, LA County voters approved Measure A, a ballot initiative to implement a half-cent sales tax to fund homelessness solutions. Measure A is expected to generate over $1 Billion annually in perpetuity, 1.25% of which is distributed to Accountability, Data, and Research. Among the required research activities is the establishment and management of an Annual Evaluation Agenda (AEA), which will produce internal and external evaluations to test the causal impact of Measure A investments on desired outcomes. Those evaluations will include third-party evaluators selected through requests for proposals and must include voices with relevant lived experience. They are intended to shape decision-making around Measure A investments and drive continuous improvement and innovation. The Evaluation Agenda Manager reports to the Director of Data Analytics and Evaluation at Community Programs and is responsible for managing the AEA and the evaluations connected to it. For an evaluation professional, this is an opportunity for large, measurable impact to improve the lives of Los Angeles County's most vulnerable people. The Measure A AEA represents a once-in-a-generation opportunity to improve how the County uses millions of dollars dedicated to housing people and preventing homelessness. With equity, accountability, and innovation at its core, the agenda will shape how Los Angeles County learns from its investments, adapts its strategies, and delivers on its promise to address homelessness systemically and transparently. This role requires an experienced, strategic project manager with a strong understanding of quantitative and qualitative evaluation design, causal inference methodology, contracting processes, and public sector stakeholder engagement and communication. The ideal candidate will have a strong background in evaluation methodology and be detail-oriented, communicative, and able to manage multiple streams of work simultaneously. A commitment to establishing strong community partnerships is equally important, and knowledge of homelessness services systems and programs is desirable. ESSENTIAL FUNCTIONS Lead the coordination and management of the Measure A Evaluation Agenda, supporting the Director of Data Analytics and Evaluation in developing, maintaining, and updating the agenda in alignment with Measure A requirements. Review and assess causal impact evaluations, ensuring research designs are capable of answering the questions they pose in terms of statistical precision and causal identification. Manage the planning, scheduling, and facilitation of community and stakeholder engagement processes, including executive governance bodies, County departments and agencies, community-based organizations, and people with lived experience of homelessness. Drive forward the publication of the AEA, helping bring together diverse recommendations for its direction, develop actionable research questions and research strategies in response to community and leadership input, and prioritize questions around a timeline and roadmap for implementation. Support the procurement and management of evaluation contracts: draft requests for proposals, scopes of work, monitor deliverables, provide technical feedback on interim deliverables (such as analysis plans and draft reports) to contractors, escalate issues when needed. Track and report on progress across multiple ongoing evaluations, synthesizing findings and presenting updates to leadership and the community. These summaries of findings should identify pathways for action and impact to improve system performance. Coordinate the development and execution of Data Sharing Agreements (DSAs), Memoranda of Understanding (MOUs), Institutional Review Board (IRB) reliance agreements, and other legal and institutional agreements required for evaluation work. Draft, revise, and publish version-controlled evaluation agenda documents annually, in collaboration with evaluation staff, contractors, and external stakeholders. Contribute to the design and oversight of internal evaluation initiatives. Ensure that all evaluation work reflects Measure A principles of equity, transparency, accountability, and innovation. JOB QUALIFICATIONS Option I: Two (2) years of experience carrying out complex data science projects that included independently developing and applying methods to identify, collect, process, structure, and analyze data using statistical prediction, inference, and optimization to support data-driven program design and management, at a level equivalent to the Los Angeles County class of Data Scientist. Option II: A Bachelor's degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, Public Health, or Public Administration that included 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis -AND- Six (6) years of experience, including two (2) years in a lead capacity, applying and overseeing the application of machine learning, predictive analytics, data management, and hypothesis-driven data analysis to make actionable recommendations to support program, policy, and operational decision-making. A Master's or Doctoral degree from an accredited college or university in a field of applied research such Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, Public Health, or Public Administration may substitute for up to two (2) years of experience. Education/Experience Masters degree or Ph.D. covering quantitative causal inference and evaluation methods strongly preferred (political science, public policy, public administration, sociology, public health, economics, etc.) Familiarity with homeless services systems and programs Demonstrated experience with contract management and project coordination, including writing scopes of work, overseeing vendors, and tracking deliverables Strong understanding of causal inference and evaluation design, including power analysis, quasi-experimental methods, randomized trial design, and meta-analysis Familiarity with additional evaluation methodologies, including qualitative methods, process-tracing, focus groups, participatory research principles, implementation science preferred Familiarity with public-sector contracting and procurement processes Experience managing stakeholder engagement, including close community engagement with marginalized populations Experience coordinating DSAs / MOUs / IRB protocols a plus Experience writing policy or evidence briefs summarizing research findings for non-technical decision-makers Commitment to advancing equity and using data to support transparency and continuous improvement Ability to translate complex evaluation findings into actionable insights that inform policy and countywide strategic planning Familiarity with continuous process improvement and related project management methodologies Certificates/Licenses/Clearances A valid California Class C Driver License or the ability to utilize an alternative method of transportation when needed to carry out job-related essential functions. Successful clearing through the Live Scan process with the County of Los Angeles. Other Skills, Knowledge, and Abilities Knowledge of homeless services systems, housing programs, and County governance structures Proficient in data visualization tools (e.g. Power Bi, Tableau, etc.) Familiarity with project management tools (e.g. Jira, Trello, Airtable, etc.) Familiarity with statistical software (e.g. R, Stata, Python, SAS, etc.) and cloud-based analytic tools (e.g. Databricks, Redshift, Bigquery) Familiarity with statistical power analysis and proficiency in statistical reasoning Strong facilitation skills for multi-stake holder discussions with government, community-based organizations, and individuals with lived experience of homelessness PHYSICAL DEMANDS Stand: Not Applicable Walk: Not Applicable Sit: Frequently Reach Outward: Occasionally Reach Above Shoulder: Occasionally Climb, Crawl, Kneel, Bend: Occasionally Lift / Carry: Occasionally - Up to 15 lbs Push/Pull: Occasionally - Up to 15 lbs See: Constantly Taste/ Smell: Not Applicable Not Applicable = Not required for essential functions Occasionally = (0 - 2 hrs/day) Frequently = (2 - 5 hrs/day) Constantly = (5+ hrs/day) WORK ENVIRONMENT General Office Setting, Indoors Temperature Controlled EEOC STATEMENT It is the policy of Heluna Health to provide equal employment opportunities to all employees and applicants, without regard to age (40 and over), national origin or ancestry, race, color, religion, sex, gender, sexual orientation, pregnancy or perceived pregnancy, reproductive health decision making, physical or mental disability, medical condition (including cancer or a record or history of cancer), AIDS or HIV, genetic information or characteristics, veteran status or military service.