Senior data scientist jobs in Garden Grove, CA

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 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! 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.

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are seeking a mission-driven Data Scientist to join our growing team and support risk adjustment strategy within our Medicare Advantage line of business. This role focuses on enhancing risk score accuracy, CMS audit preparedness (RADV), and building AI-powered tools that improve clinical documentation review and integrity. You'll play a key role in advancing AVA, our proprietary clinical intelligence platform, by developing next-generation models that support autonomous chart review and NLP/GenAI-driven documentation analytics. This is a unique opportunity to work at the intersection of healthcare, compliance, and machine learning-transforming how we ensure both quality and regulatory alignment. Job Duties/Responsibilities: Collaborate with key business leaders to understand their business problems and come up with analytical solutions. Applying coding skills and knowledge data structures to develop projects in partnership with other scientists and engineers in the team Build customer segmentation models to better understand our customers and tailor the clinical outcome and healthcare care experience for them. Build and fine-tune models for both LLMs and OCR-based document understanding, enabling accurate extraction from scanned or low-quality medical charts. Develop scalable model pipelines that integrate NLP, computer vision, and unstructured data, leveraging cloud-based infrastructure (Azure) and containerized environments. Collaborate with engineering teams to version, test, and deploy models using Git, CI/CD pipelines, and virtual machine (VM) environments. Design algorithms to predict audit risk and detect documentation anomalies across cohorts and markets. Partner with Coding, Compliance, CDI, Clinical, and Legal teams to ensure data outputs are aligned with CMS guidance. Help standardize definitions, documentation logic, and reporting workflows to scale enterprise-wide AI-readiness. Help analytical support for CMS Star Ratings strategy, including: Audit sampling methodology validation Chart review error pattern identification Root cause analysis on deletion rates and extrapolation exposure Supervisory Responsibilities: N/A MINIMUM REQUIREMENTS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Minimum Experience: 2+ years of relevant experience in predictive modeling and analysis Education/Licensure: Required: PhD in Computer Science, Engineering, Mathematics, Statistics, or related field, or equivalent experience Other: Excellent communication, analytical and collaborative problem-solving skills Experience in building end to end data science solutions and applying machine learning methods to real world problems with measurable outcomes. Deep understanding and experience with various machine learning algorithms, including deep neural networks, natural language processing and LLMs. Solid data structures & algorithms background. Strong programming skills in one of the following: Python, Java, R, Scala or C++ Demonstrated proficiency in SQL and relational databases. Experience with data visualization and presentation, turning complex analysis into insight. Experience in setting experimental analytics frameworks or strategies for complex scenarios. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development, and evaluation data sets, etc. Experience with manipulating and analyzing complex, high-volume, high-dimensionality and unstructured data from varying sources Preferred Qualifications: Healthcare experience Experience in Big Data processing technologies: Databricks Experience in Azure, AWS or other cloud ecosystems. Experience in NoSQL databases. Published work in academic conferences or industry circles. Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment Knowledge of CMS Risk Adjustment Data Validation (RADV) audits Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. ESSENTIAL PHYSICAL FUNCTIONS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran. If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact ******************. Pay Range: $149,882.00 - $224,823.00 Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc. Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation. *DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at ******************************* If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health's talent acquisition team, please email ******************.

At Apple, our Services help hundreds of millions of people get the most from the devices they love-whether through award-winning shows and movies, music in spatial audio, engaging workouts and meditations, amazing apps, or fun games. The Apple Media Products Data Science u0026 Analytics team is dedicated to uncovering meaningful insights and building data-powered solutions that enhance our services and support business growth-while honoring Apple's deep commitment to user privacy. We are seeking a Senior Marketing Data Scientist to help evolve our marketing strategies across Apple Services through the use of attribution, causal inference, testing, and predictive modeling. You'll play a pivotal role in understanding and improving how we engage customers, working with large-scale data in collaboration with partners across Business, Marketing, Product, and Engineering. This is a unique opportunity to influence the future of marketing at Apple through innovative, customer-first approaches-and to do it in a supportive, growth-minded environment that values diverse perspectives and inclusive collaboration. Collaborate with cross-functional teams (Business, Engineering, Product, and Marketing) to define key metrics, data requirements, and models for analysis, experimentation, and reporting. Investigate large-scale datasets to identify trends, measure impact, and generate insights that improve marketing strategies. Develop attribution methodologies and frameworks to assess the effectiveness of campaigns across channels. Design and build datasets, reports, and dashboards to monitor campaign and channel performance at scale. Conduct ad-hoc analyses to support major initiatives and campaigns. Help shape marketing campaign touchpoints and customer journey strategies to deepen engagement. Build predictive models, including LTV and propensity models, to support campaign optimization and audience targeting. Evaluate the incremental impact of marketing efforts using causal inference and testing methodologies. Explore how emerging technologies, such as generative AI, can be applied to create business value. Communicate insights and strategic recommendations to Marketing, Business, Finance, and Executive stakeholders. Partner with teams across Apple to support responsible data collection, governance, and access. Experience in a digital subscription or large-scale e-commerce business Deep understanding of marketing effectiveness measurement, particularly through causal inference methods. Master's or Ph.D. in a quantitative field is a plus, but not required. 8+ years of experience as a Data Scientist or Analyst in marketing, media, subscription, or tech environments, with a proven track record of campaign measurement and optimization. Strong proficiency in SQL and at least one programming language such as Python or R; experienced in building analytical datasets and pipelines using large-scale structured and unstructured data. Applied expertise in statistical and experimental techniques including A/B testing, regression, clustering, survival analysis, and causal inference. Demonstrated ability to translate complex data into clear, actionable business insights for cross-functional stakeholders. Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Economics) or equivalent professional experience.

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead - our policyholders count on us to be there when it matters most. It's a big ask, but it's one that we have the power to deliver when we work together. We collaborate and innovate - pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it's the right thing to do. Pacific Life is more than a job, it's a career with purpose. It's a career where you have the support, balance, and resources to make a positive impact on the future - including your own. We're actively seeking a talented Sr Data Scientist to join our SMS Data Science team in Newport Beach, CA or Omaha, NE. Relocation assistance may be provided. As a Senior Data Scientist, you'll play a key role in Pacific Life's underwriting transformation journey as we use machine learning and AI to modernize our underwriting workflow. How you'll help move us forward: Lead the development and implementation of data-driven models and algorithms to enhance the underwriting process. Use AI to process unstructured medical data and incorporate it into our models Automate processes using LLMs and agentic frameworks Collaborate with cross-functional teams, including underwriting, actuarial, and technology, to identify opportunities for process improvement and innovation. Analyze large and complex datasets to extract actionable insights and support decision-making. Stay up-to-date with industry trends and advancements in data science and machine learning. Mentor and guide junior data scientists and analysts. Communicate findings and recommendations to stakeholders through clear and concise reports and presentations. The experience you bring: Bachelor's, Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field 8 + years experience working in Technology with focus on Data Science initiatives Strong proficiency in programming languages such as Python and SQL. Experience using LLMs to build agentic workflows Experience with machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn). Excellent analytical and problem-solving skills. Strong communication and presentation skills. Ability to work collaboratively in a team environment. What makes you stand out: Proven experience as a Data Scientist in the life/health insurance industry. Knowledge of life insurance underwriting processes and regulations is a strong plus. You can be who you are. We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife #LI-KP1 Base Pay Range: The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $148,230.00 - $181,170.00 Your Benefits Start Day 1 Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off Paid Parental Leave as well as an Adoption Assistance Program Competitive 401k savings plan with company match and an additional contribution regardless of participation EEO Statement: Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

About The Role & Team Join Disney's Direct to Consumer Experimentation and Causal Inference Data Science team as a Sr Data Scientist, where you'll transform complex data into strategic business decisions that shape the future of streaming entertainment. Collaborating closely with cross-functional partners across the Business, you'll architect and execute sophisticated experiments that optimize every aspect of the subscriber journey-from initial acquisition through long-term retention and revenue growth. As part of Disney's rapidly evolving streaming ecosystem, you'll tackle complex business challenges that directly impact millions of subscribers across Disney+, Hulu, and ESPN. Your insights will shape Product roadmaps, pricing strategies, and user experience optimizations that drive measurable business growth. What You'll Do * Design and Execute Experiments: Lead end-to-end A/B testing initiatives and Geo Experiments, from hypothesis formation and experimental design to statistical analysis and business recommendations * Apply Causal Inference Methods: Leverage advanced techniques including difference-in-differences, instrumental variables, propensity score analysis, and other quasi-experimental designs to extract actionable insights from observational data * Build Scalable Solutions: Develop experimentation and causal inference tools and frameworks that can scale across Disney's businesses * Deliver Strategic Insights: Partner with stakeholders to identify optimization opportunities and translate complex analytical findings into clear business recommendations * Influence Executive Decisions: Present findings and recommendations to senior leadership, effectively communicating statistical concepts to non-technical stakeholders Qualifications * Bachelors in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or a related field. * 5+ years of experience conducting strategic analyses and communicating insights to drive decision-making. * Expertise in Python, R, or similar languages, including experience building software packages for statistical analysis. * Expertise in SQL. * Proficient in analyzing data and developing ML models using Python (with ML frameworks like LGBM, scikit-learn, etc.). * Strong background in statistical modeling: regression, classification, time series forecasting, causal inference, and other techniques. * Demonstrated ability to translate complex data into clear and actionable narratives, and the ability to communicate opportunities and challenges to multiple stakeholders. * Robust knowledge of causal inference approaches such as propensity scores, synthetic controls, difference-in-differences, doubly robust methods, meta learners, and uplift modeling. * Deep understanding of assumptions required for causal inferences, including the foundational statistical concepts that underpin the approaches. * Proven ability to manage end-to-end experimentation and causal inference analyses, from initial requirements to impactful outcomes. Desired Qualifications * Masters or PhD in quantitative field with an emphasis on experimentation or causal inference. * Experience applying strategic thinking to analyze market trends and consumer insights, with preference for candidates who have worked with subscription-based business models. * Ability to adapt quickly in a fast-moving environment with shifting priorities. * Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, and Github. The hiring range for this position in Santa Monica, CA is $141,900 to $190,300 per year, in San Francisco, CA is $155,400 to $208,400 and in New York City, NY is $148,700 to $199,400. 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

SR. DATA SCIENTIST - AI/ML & LLM (AR/PA IT) Bowhead seeks a Sr. Data Scientist - AI/ML & LLM Specialist to join our team supporting the AR/PA IT Program at Naval Surface Warfare Center - Corona in Corona, California. The Sr. Data Scientist - AI/ML & LLM Specialist will work directly with the client analyzing complex and unique technical support assignments and lead or collaborate with engineers, cybersecurity personnel, and program analysts within an agile environment. They will report to the Program Manager of the Task Order. They will consider overall project design including cost, and schedule that may be associated with a project. **Responsibilities** + Hands-on experience fine-tuning and applying Large Language Models (LLMs) such as GPT, LLaMA, or Claude for NLP and generative tasks + Strong programming skills in Python; experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn + Proven experience with data analytics, feature engineering, and building end-to-end ML pipelines + Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines + Experience integrating AI/ML models into secure or cloud-hosted environments (AWS, Azure, etc.) + Knowledge of RMF, STIGs, and DoD cybersecurity compliance practices + Conduct research to identify and assess new technology solutions for automating existing reporting processes. + Collaborate with cross-functional teams to design hardware and software architectures and system hosting strategies. + Lead the development of interfaces and software code to efficiently retrieve, modify, and update data. + Support the research and development of artificial intelligence/machine learning methods for advanced data analysis. **Qualifications** + Active DoD Security Clearance (Secret or higher required) + Five (5+) years of experience developing and deploying AI/ML models in enterprise or government environments + Must hold CompTIA Security+ (CE) certification + Strong problem-solving skills and the ability to innovate and implement creative solutions. + Excellent communication skills to collaborate effectively with cross-functional teams. + Attention to detail and a commitment to producing high-quality results. + Ability to provide clear and comprehensive technical documentation. + Proven experience in providing training and knowledge transfer to team members. Physical Demands: + Must be able to lift up to 25 pounds + Must be able to stand and walk for prolonged amounts of time + Must be able to twist, bend and squat periodically SECURITY CLEARANCE REQUIREMENTS: Must currently hold a security clearance at the Secret level. US Citizenship is a requirement for Secret clearance at this location. Applicants may be subject to a pre-employment drug & alcohol screening and/or random drug screen, and must follow UIC's Non-DOT Drug & Alcohol Testing Program requirements. If the position requires, an applicant must pass a pre-employment criminal background history check. All post-secondary education listed on the applicant's resume/application may be subject to verification. Where driving may be required or where a rental car must be obtained for business travel purposes, applicants must have a valid driver license for this position and will be subject to verification. In addition, the applicant must pass an in-house, online, driving course to be authorized to drive for company purposes. UIC is an equal opportunity employer. We evaluate qualified applicants without regard to race, age, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics EOE/D/V. In furtherance, pursuant to The Alaska Native Claims Settlement Act 43 U.S.C. Sec. 1601 et seq., and federal contractual requirements, UIC and its subsidiaries may legally grant certain preference in employment opportunities to UIC Shareholders and their Descendants, based on the provisions contained within The Alaska Native Claims Settlement Act. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. Please view Equal Employment Opportunity Posters provided by OFCCPhere (******************************************* . All candidates must apply online at ***************** , and submit a completed application for all positions they wish to be considered. Once the employment application has been completed and submitted, any changes to the application after submission may not be reviewed. Please contact a UIC HR Recruiter if you have made a significant change to your application. In accordance with the Americans with Disabilities Act of 1990 (ADA), persons unable to complete an online application should contact UIC Human Resources for assistance *****************/careers/recruitment/ . The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c) UIC Government Services (UICGS / Bowhead) provides innovative business solutions to federal and commercial customers in the areas of engineering, maintenance services, information technology, program support, logistics/base support, and procurement. Collectively, the fast-growing Bowhead Family of Companies offers a breadth of services which are performed with a focus on quality results. Headquartered in Springfield, VA, we are a fast-growing, multi-million-dollar company recognized as a top Alaska Native Corporation providing services across the Department of Defense and many federal agencies. Bowhead offers competitive benefits including medical, dental, vision, life insurance, accidental death and dismemberment, short/long-term disability, and 401(k) retirement plans as well as a paid time off programs for eligible full-time employees. Eligible part-time employees are able to participate in the 401(k) retirement plans and state or contract required paid time off programs. **Join our Talent Community!** Join our Talent Community (************************************************************************ to receive updates on new opportunities and future events. **ID** _2025-23125_ **Category** _Information Technology_ **Location : Location** _US-CA-Corona_ **Min** _USD $135,000.00/Yr._ **Max** _USD $175,000.00/Yr._ **Minimum Clearance Required** _Secret_ **Travel Requirement** _Less than 10%_

Job Description Job Title: Senior Data Scientist (Ads) Department: Data Science Type: Full-Time, Exempt Experience: Senior (5+ years) Salary Range: $175,000 - $200,000.00 base (plus bonus, equity, and benefits) Core Hours: 9 AM - 1 PM PST / 12 - 4 PM EST About tv Scientific tv Scientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by leaders in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. Role Summary tv Scientific is looking for a Senior Data Scientist to expand our team! You'll be working with a distributed engineering team on our Connected TV ad-buying platform, as we continue to grow. We've cracked the code on optimizing TV ad campaigns. We're scaling massively and we need your help to make that scale work economically. An Idealab company, tv Scientific was co-founded by executives with deep roots in programmatic advertising and digital media. tv Scientific helps our clients buy ads across the CTV universe, from Hulu to PlutoTV to the ad-supported tier of Disney+ and (HBO) Max. We have partnerships with NBCUniversal and Roku to advance CTV performance advertising. What You'll Do Write production code in Python. Design, launch, and analyze experiments to optimize ad campaigns. Build reporting and analytics tools for the Data Science Team's customers. Translate into tv Scientific's Data Science Product. How We'll Define Success Utility of new reporting and analytics tools. Speed of translation between DS Analytics & DS Product team. Quality of service you provide to the Data Science team's customers. We value diverse backgrounds and non-traditional paths into data science. You'll Be Successful in This Role if You Have/Are Experience writing and reviewing production-level code in Python. Excellent writing skills. Strong statistics and ML fundamentals. Desire to work at a fast-growing Series B startup-working under uncertainty, owning and scaling new products, and an experimental and iterative development process. You May Also Have Adtech or CTV experience Teaching experience. Big data experience with Scala, Apache Spark, Apache Beam, and AWS Athena. Exceptional data visualization skills Culture and Benefits At tv Scientific we believe people do their best work when they feel challenged and engaged by their day to day responsibilities, when they're surrounded by smart, hard working people, and when they have a healthy work life balance. Our company culture and benefits package reflects these beliefs. Full health, dental, and vision insurance - up to 95% funded by the company for employees. Employee stock option program. Company-sponsored retirement plan with a matching contribution program. 12 annual paid holidays (including 2 flexible days). Generous PTO policy (get your work done and take the time you need). A remote-first environment that allows employees flexibility to work from anywhere in the US. As tv Scientists We Are... Big Thinkers: We believe in setting audacious goals and envisioning transformative change. Radically Transparent: We value transparency in all aspects of our business. We foster a culture of open communication, honesty, and accountability. Performance-obsessed: We are passionate about achieving exceptional results. We strive for excellence in everything we do and set high standards for ourselves. Data-driven: We embrace the power of data, science, and technology as crucial drivers of our success. Trust Builders: We prioritize building and nurturing trust with our stakeholders. We understand that trust is the foundation of successful relationships and business partnerships. Through our actions, integrity, and commitment to delivering on promises. Forever Students: Challenge assumptions to look for solutions. We create a safe environment for experiments and risk-taking by our customers and employees. tv Scientific is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. tv Scientific is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.

Job Description At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries-including financial services, insurance, technology, media, and sports-by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role Join our growing Machine Learning, AI, and Quantitative Research (MAQR) group as a Data Scientist, where you'll be at the heart of our data and analytics transformation. In this role, you'll collaborate closely with cross-functional teams to deliver cutting-edge AI/ML solutions that drive significant business impact, including cost optimization and revenue growth. You'll work in an innovative environment with a startup mindset, building technology solutions that create competitive advantages across our diverse portfolio. Key Responsibilities: Model Development & Implementation Build machine learning models through all phases of development, from problem formulation and design through training, validation, and implementation in a production environment Develop advanced AI solutions including predictive modeling, time series forecasting, optimization, and causal methods Leverage a broad stack of technologies to analyze large volumes of numeric and textual data Research, develop, and implement advanced machine learning and AI techniques for financial applications Strategic Collaboration Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver solutions that align with business objectives Collaborate with business leaders and technical experts to ensure AI/ML initiatives are integrated effectively across business units Translate complex technical concepts into actionable business strategies and tangible outcomes Innovation & Excellence Drive the development of descriptive, predictive, and prescriptive modeling use cases across diverse business challenges across the financial sector including asset management and banking Stay current on state-of-the-art methods and emerging technologies, ensuring our organization remains at the forefront of AI/ML innovation Contribute to AI governance initiatives and champion ethical, responsible use of AI across the organization Requirements Qualifications: Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related field) plus 6+ years of experience in data analytics, OR PhD in a quantitative field plus 3+ years of experience in data science At least 6+ years of experience with Python or similar programming languages for large-scale data analysis At least 4+ years of experience with machine learning model development and deployment Experience with statistical analysis, data science, and model validation techniques Proficiency in interpreting model performance metrics and statistical outputs Strong analytical and problem-solving skills with ability to work with complex, multi-faceted challenges Excellent communication and interpersonal skills to translate technical complexity into business value Ability to thrive in bringing definition to big, undefined problems Customer-first mindset with passion for delivering impactful solutions Preferred qualifications: Experience with cloud technologies (AWS, Azure, GCP) and cloud-native architectures Knowledge of quantitative finance, econometrics, or portfolio optimization Experience with forecasting and causal inference using modern machine learning methods Experience with microservices architecture and high-performance computing systems Experience working with large-scale datasets (billions of records) and real-time data processing Demonstrated ability to write production-level software Experience with Agile development methodologies and cross-functional team collaboration Benefits Position Location This position is located in Santa Monica, CA. Compensation The base pay will for this position is $160,000-$190,000. A bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description About Conciergi AI Are you eager to make a significant impact in the ever-evolving AI landscape? Join Conciergi AI, a dynamic leader in AI innovation, as a Senior Data Scientist. You'll work alongside a top-tier AI team to harness data, advanced analytics, and cutting-edge models to fuel strategic growth and deliver real-world impact. This is your chance to lead data-driven transformation, build intelligent systems, and push the boundaries of conversational AI and automation. We seek a versatile expert with deep proficiency in conversational AI, LLMs, agentic AI, retrieval systems, and end-to-end ML development, combined with a relentless drive to learn, experiment, and solve complex problems. From designing RAG-powered chatbots to securing data pipelines, you'll own critical initiatives that power our AI-enabled operators and customer solutions. Please note that we are a fully on-site environment based in Irvine, CA. For the right candidate, we are open to potentially considering remote/hybrid arrangements and visa sponsorship opportunities. Key Responsibilities: Design, build, and refine conversational AI systems using retrieval-augmented generation (RAG), combining large language models (LLMs) with vector search and retrieval. Develop data ingestion and embedding pipelines to support scalable, efficient information retrieval. Fine-tune and adapt LLMs for domain-specific use cases, covering prompt engineering, instruction tuning, and low-rank adaptation (LoRA). Integrate AI models into CRMs, workflow platforms and vendor management systems. Own the end-to-end development of machine learning algorithms, from data collection and feature engineering to model training, validation, and performance tuning. Research and prototype emerging ML architectures and retrieval strategies to enhance performance. Resolve and rerank RAG's training material data for a single source of truth. Translate business requirements into robust, data-driven technical solutions with measurable outcomes. Collaborate with engineering teams to deploy, scale, and monitor AI systems across the organization. Identify new opportunities to embed machine learning into business processes and workflows. Partner with Product, Marketing, Finance, Risk, and Operations to define and track key performance metrics. Continuously improve data pipelines for accuracy, accessibility, and scalability. Support cross-functional data science initiatives and perform additional duties as needed. Other duties as assigned. Qualifications & Requirements: Education: Bachelor's degree in a quantitative or technical field; Master's or Ph.D. preferred. 8+ years of professional experience in data science, AI, or applied machine learning. Proven experience in designing and building Voice AI systems and/or chatbots, including speech recognition, conversational agents, and real-time dialogue models. Hands-on proficiency with leading machine learning and deep learning frameworks, such as LangChain, Hugging Face, TensorFlow, PyTorch, Keras, scikit-learn, and pandas. 7+ years of strong programming expertise in Python/Pyspark and SQL, with proven experience deploying AI solutions in cloud environments (AWS or Google Cloud Platform). 2+ years of practical experience working with MCP, LLMs, generative AI, and conversational AI frameworks (e.g., LangChain, LangGraph, RAG, Vector Databases, AutoGen, CrewAI). 5+ years of specialization in at least one area of advanced modeling - predictive analytics, recommendation engine, reinforcement learning, natural language processing (NLP), or causal inference. 4+ years of experience translating complex AI and data science concepts into tangible business outcomes, including stakeholder engagement and value quantification. 4+ years leading end-to-end AI solution delivery, from data architecture and model orchestration to front-end integration and user adoption. Demonstrated excellence in communication, storytelling, and customer engagement, with the ability to present technical insights in a clear and impactful manner. Experience developing agentic AI systems for conversational analytics, autonomous reporting, or intelligent decision support. Proven ability to design, train, and deploy machine learning models for real-world applications. Strong expertise in data acquisition, preprocessing, and quality assurance for enterprise or industry-scale use cases. Bonus Points: Strong data analysis and visualization skills. Practical knowledge of data engineering. A proactive and open mindset with a willingness to learn and adapt to emerging technologies and techniques. Compensation The compensation for this position is $130k - $190k+ (depending on experience). Benefits at Conciergi AI Competitive health, vision, and dental benefits (covering 100% premium for employee and all dependent(s)) 401K (with employer matching) Health and wellness reimbursement Catered lunches 5x times a week Work sponsorship (if applicable) Other employee perks As part of our dedication to the diversity of our workforce, Conciergi AI is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, physical or mental disability, medical condition, marital/domestic partner status, military and veteran status, genetic information or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances.

Remote - US & Canada We're looking for an experienced Senior Data Scientist to help us develop scalable data-driven solutions that enhance player understanding, foster safe and secure online communities, and optimize the overall player experience. This role is critical for innovating and expanding upon our existing game analytics tooling, and will work with data professionals, application engineers, and stakeholders throughout the studio to create new functionality that serves the needs of gamers AND game developers everywhere. On any given day at thatgamecompany, you might: Comb through large sets of game telemetry data to uncover player relationships, feature usage trends, security threats, inefficiencies, and opportunities to improve the player or developer experience. Design and test innovative solutions to improve new player retention through data-driven insights and automation Develop novel solutions to identify, surface, and mitigate non-human bot activity Translate data-driven solutions into product features to automate and share our innovations Give a presentation to help talk through some unintuitive discoveries from one of your data models We expect you to: Have deep passion for video games; be a gamer and think on behalf of our players Be curious, a problem solver and a self starter who is comfortable taking risks. Know how and when to apply your knowledge, and be willing to share with the rest of us Be comfortable with ambiguity and able to navigate it to iteratively refine the problem space Spearhead projects touching multiple workgroups, regularly liaising with and coordinating development efforts Proactively drive product and feature innovation, leveraging your wisdom and expertise to identify and prioritize initiatives Required Skills 4+ Years of Experience applying Data Science methodologies to product development Strong understanding of machine learning and statistical methods, including classical ML, deep learning, NLP, and anomaly detection. Expertise in statistical concepts such as experimental design, hypothesis testing, regression, classification, and clustering Proficiency in writing clean, efficient code in Python, Java, or Typescript Experience writing optimized SQL to build and analyze datasets Familiarity with modern Cloud Platforms (preferably GCP) Exposure to big data processing tools like BigQuery, Redshift, Snowflake, Spark, and Beam Strong communication skills, desire to understand the data you're using, and the ability to explain what you built and why you built it Willingness to continuously learn, adapt, and step outside of your comfort zone. Preferred Experience Any of the following would be highly preferred, but most of all, we value team players who are eager to learn and contribute: Kubernetes and Open Source tooling Graph Databases or Matchmaking Analysis of 3D event data Experience developing Data-Driven SaaS Products Experience in the video gaming industry Experience in a small company with a startup feel Interest in technical writing and sharing your work At thatgamecompany, we believe in fostering creativity, collaboration, and innovation. If you're excited about using data science to shape immersive gaming experiences, we'd love to hear from you! Applicants must be authorized to work for any employer in the U.S or Canada. We are unable to sponsor or take over sponsorship of an employment Visa at this time. The salary range for this position is $140,000 USD to $180,000 USD annually, with the opportunity to earn an annual discretionary bonus. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices. Employees in this position are eligible to participate in the Company's standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, and paid time off. #LI-Remote

Nexon America is a branch of Nexon Co., Ltd., a global video game publisher and leading developer of online virtual worlds for PCs, consoles, and mobile devices. Nexon proudly offers celebrated franchises like MapleStory and Mabinogi that have been enjoyed by millions of players for over two decades. When we founded our Nexon America branch in 2006, we made it our goal to bring those unique games to western players using a player-first approach. We achieve that goal by applying our team's outstanding free-to-play expertise and live game support to every decision, every day. But we're committed to more than our games! Here at Nexon America, we're all about open communication, diversity, mutual respect, and collaboration, so we can bring out the best in each other. Nexies find support, friendship, and career growth all in one place! And because we know a healthy work-life balance is the key to happiness, Nexies also enjoy flexible hours, a hybrid work model, and extra perks like food trucks, happy hours, and team events. It's why we've earned the Great Place to Work certification for 5 years running! We're looking to expand our team with passionate individuals who want to learn, play, and grow with us. Ready for a new challenge? Summary of Position Nexon America is looking for a talented Sr. Data Scientist to help Nexon's game business through data-driven insights and solve critical business problems by developing advanced machine learning algorithms. The Sr. Data Scientist is passionate about games, analytics, and applying advanced data science techniques to improve player experience, retention, and monetization. The Sr. Data Scientist collaborates with our Data teams, Business teams, Security team, and other stakeholders to implement data science models into live production systems. The Sr. Data Scientist brings fresh perspectives to inform decision-making toward better player experience by translating player voice into insights. We are currently working in the office 2-3x a week in a hybrid work model. Job Responsibilities * Apply your expertise in quantitative analysis, data visualization and data mining to tell the story behind numbers and find relevant insights for partners and leadership * Build and evaluate the ML models and statistical methods to provide Insight & Recommendation and solve the business problems * Establish scalable, automated processes for large scale data extraction, model development, model validation, model deployment, and its monitoring * Research and develop state-of-the-art machine learning, data mining, statistical modeling solutions, and language models to understand game business and key business behaviors, such as player acquisition, retention, and monetization * Maintain clear and comprehensive documentation of the models and analysis results, and present the results to the stakeholders clearly and effectively * Work closely with other data scientists, data analysts, data engineers, and other stakeholders to understand project requirements, provide valuable insights, and advanced solutions. * Mentor other engineers and scientists and contribute to their growth by providing guidance and advice. * Lead the improvement of the team's process. * Other duties as assigned Work Experience * 5+ years of proven professional working experience as a Data Scientist or related field (Advanced degrees may substitute for part of the required experience.) Education, Professional Training, Technical Training or Certification * BS (MS/PhD Preferred) in quantitative discipline (e.g. Computer Science, Statistics, Applied Mathematics, or a related field) Knowledge/Skills * Expertise in machine learning and statistical analysis approaches such as classification, clustering, regression, statistical inference, collaborative filtering, natural language processing, experimental design, social networking analysis, etc. * Experience managing advanced analytics projects which solve complex analytical problems using data exploration and analysis skills * Experience working with unstructured data (e.g., text, logs, JSON, images) * Expertise in evaluating, automating, deploying, and monitoring models in production systems * A true passion for understanding customer behavior on-platform and in-game * Expert analytical and problem-solving skills, plus the ability to innovate and work with strong initiative * Strong skills in statistical methods (e.g. hypothesis testing, time series modeling) * Strong SQL skills and strong Python skills; familiarity with Jupyter Notebook * Familiar with modern data platforms, and cloud systems (e.g. Snowflake, AWS) * Professional large language models and MLOps experience is a plus. * Online gaming experience is a BIG PLUS! Management has the right to add or change duties and job requirements at any time. Nexon's Benefits and Perks We offer medical, dental and vision plans for you, your spouse or domestic partner and your children. Employees who enroll in the high deductible health plan receive an annual employer contribution to a health savings account and company paid hospital indemnity benefits. We also provide company paid life, AD&D, short-term and long-term disability benefits as well as access to voluntary life and AD&D for yourself and your dependents, flexible spending accounts, a 401(k) savings plan with a company match, and pet insurance. Nexies are encouraged to take advantage of our monthly wellness credit, participate in lunchtime yoga, and enroll in language classes. We host bi-monthly catered lunches, monthly happy hours, and maintain a well-stocked snack bar. To help you maintain a good work life balance, we offer paid time off, sick days, company holidays, and a year-end break. Nexon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law and will not be discriminated against on the basis of disability. Compensation Description for Pay Transparency (annually) The base salary range for this position in El Segundo, CA is $140,000 - $180,000 annually. Our salary ranges are determined by market data based on position and level. The range displayed on each job posting reflects the minimum and maximum salaries for that position. An individual's pay is determined by factors including, but not limited to, a candidate's qualifications, skills, experiences, relevant education or training, and location. Base pay is one part of the Total Rewards package that is provided to compensate and recognize employees for their work. This role may be eligible for additional discretionary bonuses/incentives, however the salary range listed in this job posting reflects the base salary only. Beware of Recruitment Scams We have been made aware of fraudulent recruitment activities by individuals falsely claiming to represent Nexon America. Our recruiters will only contact you from official company email addresses ending ************* and will follow a formal interview process. We will never request for payment or personal financial information such as photos of government-issued identification during the recruitment process or offer a job without a formal interview process. If you receive suspicious email, we advise you to mark the email as junk or spam, so your email provider will block future messages from the sender.

TYPE OF RECRUITMENT: OPEN COMPETITIVE- EMERGENCY EXAM NUMBER: b1764A-EA This examination will remain open until the needs of the service are met and is subject to closure without prior notice. This announcement is a re-post to reopen the filing period 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 Department of Mental Health is seeking qualified candidates to fill emergency Senior 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 Senior Data Scientist. Collaborates with division, departmental, and countywide stakeholders to solicit, define, and manage highly complex data science projects from conception through implementation; ensures that projects result in actionable insights and recommendations that can be used to support business decisions and allocate resources; and provides ongoing consultation during program implementation of recommendations as necessary to ensure program fidelity. Provides technical oversight to small teams of Data Scientists and Predictive Data Analysts as necessary to ensure project success. Leads the discovery process with departmental stakeholders to document business requirements and frame business problems so that appropriate corresponding data science techniques and products can be identified and deployed. Collaborates with other 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; and provides guidance to other department data experts in the selection and transformation of such sources. In conjunction with the Information Technology organization, supports collection, integration, and retention requirements for large sets of structured and unstructured data from disparate sources; acts as a resource for senior data engineers and architects in the selection and design of systems for use by the data science team. Reviews proposals by Data Scientists and analysts regarding selection and improvement of data science tools and ensures that the team's tools and systems are well documented. Conducts and coordinates statistical inference of data and conveys findings and conclusions 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 retain fidelity to best practices identified through the analysis and recognize the operational realities underlying existing business processes; provides ongoing consultation as recommended changes and new programs grow and evolve, including recommending modifications to adopted goals and metrics. Coordinates with various functional teams to develop and implement products, services, tools, or business process changes resulting from the analysis. Creates and validates advanced analytic products (e.g., Recommender Engines, Auto Classification algorithms, Predictive Scoring, geo-spatial clustering, NLP classifier, etc.) and places them in production; works with nontechnical program managers and staff to understand analytic products and to integrate them into departmental programs. Recommends ongoing improvements to methods and algorithms that lead to findings, including new information. Creates and monitors performance of automated-detection systems and provides business metrics for overall project to show improvements 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. Develops and maintains a high level of expertise in statistical programming languages and packages and other software tools; provides training and support to Data Scientists and Predictive Data Analysts as necessary; and ensures the quality of code and programming logic generated by the data science team. TRAINING AND EXPERIENCE: 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, 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- six (6) years of experience* 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. Two (2) years of this experience must have been in a lead capacity*. For Option II only, a Master's or Doctoral degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health may substitute for up to two (2) years of the general experience. Applicants must meet the above requirement(s) at the time of filing in order to be appointed to fill any vacancies related to this recruitment. LICENSE: 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. 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 REQUIREMENTS INFORMATION: * Experience at the level of Data Scientist is defined as 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. ACCREDITATION INFORMATION: ACCREDITATION: Accredited institutions are those listed in the publications of regional, national or international accrediting agencies which are accepted by the Department of Human Resources. Publications such as American Universities and Colleges and International Handbook of Universities are acceptable references. * Foreign degrees must be evaluated for equivalency to United States accredited institutions standards 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 Transcripts 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 courses from the school's website is NOT considered official transcripts and will not be accepted and may result in your application being incomplete and rejected. Official transcripts MUST be submitted to verify the required coursework from the accredited institution, which shows the date the Bachelor's degree was awarded, with Registrar's signature and school seal, to the application at the time of filing, or e-mail to ********************** within seven (7) calendar days from application submission or your application may be rejected. In order to receive credit for Bachelor's or higher degree, you must attach a legible copy of the Official Diploma, Official Transcripts, or Official Letter from the accredited institution, which shows the date the degree was awarded, with Registrar's signature and school seal, to the application at the time of filing, or e-mail to ********************** within seven (7) calendar days from application submission or your application may be rejected. * Lead capacity is defined as act as team or group leader to at least two (2) or more journey or lower-level employees with responsibility for assigning, coordinating, and reviewing the work, ensuring proper work methods are followed, and providing technical assistance and training. A lead person is a Senior member of the Data Science team that provides technical assistance to other team members but does not supervise. EXAMINATION CONTENT: 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. APPLICATION AND FILING INFORMATION Applications must be submitted 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. Applications must be filed online by clicking on the green "Apply" button located on the top right corner of the screen. Applicants must complete and submit their online applications and upload required documents (e.g. Official Transcripts, Resume, etc.) as attachment(s) during application submission, or send by email to ********************** within 7 calendar days from date of application submission. Indicate the Exam Title on the subject line when sending required documents by email. Fill out your application completely. The acceptance of your application will depend on whether you have clearly shown that you meet the Minimum Requirements. Provide any relevant education, training, and experience in the spaces provided so we can evaluate your qualifications for the job. For each job held, provide the name and address of your employer, your job title, beginning and ending dates, and description of work performed. If your application is incomplete, it will be rejected. 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 notification from being filtered as span/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 before the deadline 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 govermentjobs.com/careers/lacounty.gov 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: * 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 the Class Specification, Minimum Requirements, and/or Special Requirement Information serving as your description of duties WILL NOT be sufficient to demonstrate that you meet the requirements. In doing so, your application will be REJECTED as INCOMPLETE. SOCIAL SECURITY NUMBER LANGUAGE Please include your Social Security Number for record control purposes. Federal law requires that all employed persons have a Social Security Number. COMPUTER AND INTERNET ACCESS AT 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. FAIR CHANCE 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. NO SHARING USER ID AND PASSWORD All applicants must file their applications 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 Human Resources is committed to promoting Anti-racism, Diversity, and Inclusion efforts to address the inequalities 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: HR Examinations Unit: ************** HR Examinations Unit Email: ********************** Analyst Contact Phone: Irene San, ************** Analyst Contact Email: ********************* ADA COORDINATOR PHONE: ************** TELETYPE PHONE: ************** CALIFORNIA RELAY SERVICES PHONES: **************

Lightspark is building open payments for the Internet-always-on payment solutions powered by Bitcoin, the only open, neutral network for moving value. With enterprise tools like Connect, UMA, and Spark, businesses can send and receive money instantly, securely, and at a fraction of the cost, anytime, anywhere. Lightspark is headquartered in Los Angeles, California, but serves the world. We're looking for a Senior Data Scientist to join our Data Science team and drive data-informed decisions across Product, Finance, Compliance, and Strategy. You'll be the bridge between our data infrastructure and the business teams that depend on insights to grow the Money Grid. This role combines the analytical rigor of a data scientist with the technical self-sufficiency of an analytics engineer. You'll define metrics that matter, build the pipelines to track them, and translate complex data into actionable insights that shape our product roadmap and business strategy. What You'll Be Doing Own Key Metrics & Measurement Design and implement measurement frameworks for our core products (UMA, Spark, Lightspark Payments) Define success metrics for strategic partners like Nubank and SoFi Build dashboards and reporting that make data self-service for cross-functional teams Track product health, user engagement, retention, and transaction patterns Enable Cross-Functional Decision-Making Partner with Finance on pricing analysis, margin optimization, and revenue forecasting Support Compliance with transaction monitoring rules, KYC/AML thresholds, and risk scoring frameworks Work with Product teams to prioritize features based on data-driven insights Provide strategic analysis to inform go-to-market decisions and partnership evaluations Build Data Products & Pipelines Extend our data infrastructure to support new analytics use cases Build domain-specific data models and pipelines using dbt, SQL, and Python Create scalable, maintainable analytics code that others can build upon Collaborate with our Data Engineer to design efficient data architectures Drive Data Culture Advocate for data-driven decision-making across the organization Train teams on how to use data tools and interpret metrics correctly Identify gaps in our data ecosystem and take ownership of fixing them Balance speed with quality-ship fast, iterate based on feedback What We're Looking For Required: 5+ years of experience in data science or related roles Expert-level SQL skills-you can write complex queries, optimize for performance, and design efficient data models Strong Python programming skills: you can build pipelines, automate analyses, and with production-quality code Proven ability to define metrics and measurement frameworks from scratch Track record of influencing product and business decisions with data Strong communication skills-you can explain technical concepts to non-technical stakeholders Self-starter mentality-you unblock yourself rather than waiting for others Understanding of statistical concepts (A/B testing, causal inference, experimentation) Preferred: Experience with modern data tools like DBT, Airflow/Dagster, BigQuery/Snowflake/Databricks, Looker/Mode/Hex Experience in payments, fintech, or crypto/blockchain companies Familiarity with compliance, fraud detection, or risk analytics Background in both startups and larger tech companies Experience with product analytics tools (Amplitude, Mixpanel, Segment) Background in a quantitative field (Computer Science, Engineering, Math, Statistics, Economic) Lightspark is on a mission to build an open payment protocol for the Internet at scale and therefore we're committed to creating a more inclusive and diverse workplace to reflect the customers we serve. We welcome interest from individuals of all backgrounds and levels of experience who share our mission. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the State of California Fair Chance Initiative for Hiring.

Senior Data Scientist Department: Clinical Science Reports to: CSO At Enchannel Medical, we're redefining the boundaries of electrophysiology with our next-generation DePolar™ mapping system and integrated NanoAblate™ PFA platform. Driven by our global mission to enhance the quality-of-life of heart rhythm patients, our discerning technology, paired with our passion for innovation, leads to enduring outcomes. Position Overview The Senior Data Scientist applies analytic methods to evaluate the technical performance and clinical application of EnChannel's 3D Mapping, PFA, and imaging platform in support of development, quality assurance, preclinical and clinical studies, regulatory submission, and publication in peer-reviewed journals. Duties and Responsibilities Design test's algorithms to evaluate the performance of navigation, mapping, and ablation methods (localizing electrode positions, generating 3D cardiac meshes, processing intracardiac signals, mapping electrophysiologic parameters, and assessing ablation lesions). Facilitate advancement and refinement of signal acquisition and processing algorithms. Assist in the design of preclinical study protocols and perform data analysis. Contribute to clinical research protocols and data analysis. Process and organize clinical data to establish and maintain a clinical database. Support R&D, Quality Assurance, and Regulatory Affairs data generation and analysis for submission to regulating and notified bodies. Contribute to the “Rhythm Library,” product documentation, educational material, and publications. Comply with quality system and regulatory requirements. Foster collaboration and respect within teams, physicians, and laboratory staff. Education, Experience and Skills Required Bachelor's degree or higher in Biomedical Engineering, Electrical Engineering, Physics, Biophysics, Biology, or Computer Science. 5+ years in cardiac electrophysiology product development or support. Knowledge of 12-lead ECG, intracardiac electrograms, cardiac anatomy, signal processing, electroanatomic mapping, and ML/AI. Proficiency in 2D/3D cardiac mapping, analytic geometry, programming (Python, R, SQL), data analysis (MATLAB, COMSOL, pandas, scikit-learn, TensorFlow), and data visualization (matplotlib, seaborn, Tableau). Cross-functional collaboration and project management experience. Strong communication skills, attention to detail, and ability to manage priorities under pressure. Ability to travel internationally Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum new hire pay for the position located in California. Within the range, individual pay is determined by location, additional factors, including job-related skills, experience, and relevant education or training. EnChannel Medical is an E-Verify and equal opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any basis covered under acceptable law. JOB CODE: 1360

Americor is an innovative finance technology company with a unique approach to debt resolution. Americor focuses on getting Americans out of debt quickly and responsibly so they can take control of their lives again. Our employees love coming to work and find value in what they do, consistently recognizing Americor as a top place to work. With over a decade of experience paired with a number of best company awards, Americor has relieved over $2 billion in debt for over 200,000 Americans. We are seeking an enthusiastic Sr. Data Scientist to join our team, with a specific focus on marketing optimization and machine learning productionisation. This role is ideal for someone who thrives at the intersection of data science, cloud engineering and business strategy. In the role, you'll work closely with stakeholders across Marketing, Sales, Data and Product to build predictive models, scale model implementation in AWS and translate model performance into insights and actions for executive leadership. Responsibilities: Perform extensive exploratory analyses across all the marketing channels Develop, test, productionalize, monitor and maintain propensity models to optimize marketing investment and customer acquisition in AWS leveraging S3, Lambda and SageMaker Productionize machine learning models with real-time and distributed batch scoring Proficiency with MLOps practices and tools for model versioning, monitoring, CI/CD pipelines Build dashboards in Tableau to communicate model trends, insights and performance Identify new areas of opportunity and ideate with stakeholders on new projects Stay current with industry best practices and emerging ML technologies Other duties as assigned Education & Experience: 5+ years of experience applying ML within lead generation and digital marketing Advanced AWS experience; solutions architect certification or equivalent expertise preferred Advanced proficiency with XGBoost, Neural Networks, and other ML techniques Advanced Python, SQL and Tableau Excellent storytelling and presentation skills Proven ability to position oneself to advise and teach across a data organization Bachelor's degree in Applied Mathematics, Computer Science, Physics, or equivalent experience; Master's preferred Additional Benefits: Career path Medical Dental Company paid group life / AD&D insurance 7 paid holidays and 2 flex days to use at will Paid time off Flexible spending/HAS Employee Assistance Program (EAP) 401(k) Referral program Compensation: $120,000-$150,000 annually, depending on experience. Work Location: Hybrid/Remote- Irvine, CA. Americor is proud to be an Equal Opportunity Employer. Americor does not discriminate based on race, color, gender, disability, veteran, military status, religion, age, creed, national origin, sexual identity or expression, sexual orientation, marital status, genetic information, or any other basis prohibited by local, state, or federal law. * Note to Agencies: Americor Funding, Inc. (the “Company”) has an internal recruiting department. Americor Funding Inc. may supplement that internal capability from time to time with assistance from temporary staffing agencies, placement services, and professional recruiters (“Agency”). Agencies are hereby specifically directed NOT to contact Americor Funding Inc. employees directly in an attempt to present candidates. The Company's policy is for the internal recruiting team or other authorized personnel to present ALL candidates to hiring managers. Any unsolicited resumes sent to Americor Funding Inc. from a third party, such as an Agency, including unsolicited resumes sent to a Company mailing address, fax machine, or email address, directly to Company employees, or to the resume database, will be considered Company property. Americor Funding Inc. will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Americor Funding Inc. will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees.

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events - from concerts and festivals to sports and theater - at some of the most iconic venues in the world. Since our founding in 2011, we've consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today. We're passionate about improving the fan experience and providing game-changing solutions for our clients, and we're always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment. The Role The Senior Data Scientist uses statistical modeling and machine learning tools to support business initiatives such as revenue maximization, personalization, and anomaly detection. The incumbent utilizes ticketing data at AXS to build and deploy scalable data science tools. This position collaborates with a dynamic team and works with various business stakeholders. What Will You Do? Machine Learning Modeling and Deployment - Contribute to the full data science lifecycle from model design, development, deploying/building data pipelines, and evaluating alignment with business goals Business Strategy and Project Management - Translate requests and problems into frameworks for improving pricing strategy performance, driving value, and impacting business outcomes. Provide mentoring to junior data scientists and support the recruiting and hiring process for the data science team. Business Collaboration - Effectively collaborate with business partners to communicate findings, understand key pricing problems, and define strategic priorities. Technical Exploration and Research- Explore key development in data science and machine learning tools and algorithms. Identify needs, explore relevant data, and develop applicable tools to drive business decisions and strategy-making. What Will You Bring? BS/MA/MS Degree (PhD preferred) in a Quantitative field such as Econometrics, Statistics, Operations Research, Machine Learning, Applied Mathematics, Computer Science, or related technical area The experience level will vary based on the candidate's degree level 1) PhD Candidates: 1-2 years related experience, or 2) Master of Science Candidates: 2-4 years related experience; or 3) Bachelor of Science Candidates: 5+ years of related experience Experience with applied statistical, machine learning modeling, recommendation systems, and deployment experience Bonus points if You Have Experience on pricing strategy and revenue management Experience with Git, bash/UNIX scripting Pay Scale: $125,000- $140,000 Bonus: This position is eligible for a bonus under the current bonus plan requirements. Benefits: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings. *Employer does not offer work visa sponsorship for this position. What's in it for You? Extraordinary People - we're not kidding! Meaningful Mission- Helping revolutionize an industry and deliver better experiences for fans and clients around the world. Development and Learning - Opportunities for learning and leveling up through training and education reimbursement. Community & Belonging - A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace. Curious about the typical interview process for this position? Here's what to expect: Stage 1: 20-30 virtual preliminary interview Stage:2: 45-min virtual Hiring Manager Interview Stage 3: 60-min virtual technical Interview Stage 4: 30 min final interview More about AXS AXS, a subsidiary of AEG, sells millions of tickets each year for 1600+ premier venues, sports teams, and event organizers across North America, Europe, Asia, Australia and New Zealand. Headquartered in Downtown Los Angeles, California, AXS employs more than 900 professionals in multiple locations worldwide. In each location you'll find a team of dedicated, diverse employees (we've dubbed ourselves “Fanatix”) who create groundbreaking products and services in a fun, fast-paced environment. To learn more about our culture and values, visit: ********************************** More about AEG For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer. Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations. We are dedicated to a diverse, inclusive and authentic workplace, so if you're excited about this role but can't "check every box" in the , we encourage you to apply anyway. You may be the right candidate for this or other roles. AEG reserves the right to change or modify the employee's job description whether orally or in writing, at any time during the employment relationship. AEG may require an employee to perform duties outside their normal description. AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions. We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law. #LI-Hybrid

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.

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events - from concerts and festivals to sports and theater - at some of the most iconic venues in the world. Since our founding in 2011, we've consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today. We're passionate about improving the fan experience and providing game-changing solutions for our clients, and we're always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment. The Role The Senior Data Scientist uses statistical modeling and machine learning tools to support business initiatives such as revenue maximization, personalization, and anomaly detection. The incumbent utilizes ticketing data at AXS to build and deploy scalable data science tools. This position collaborates with a dynamic team and works with various business stakeholders. What Will You Do? Machine Learning Modeling and Deployment - Contribute to the full data science lifecycle from model design, development, deploying/building data pipelines, and evaluating alignment with business goals Business Strategy and Project Management - Translate requests and problems into frameworks for improving pricing strategy performance, driving value, and impacting business outcomes. Provide mentoring to junior data scientists and support the recruiting and hiring process for the data science team. Business Collaboration - Effectively collaborate with business partners to communicate findings, understand key pricing problems, and define strategic priorities. Technical Exploration and Research- Explore key development in data science and machine learning tools and algorithms. Identify needs, explore relevant data, and develop applicable tools to drive business decisions and strategy-making. What Will You Bring? BS/MA/MS Degree (PhD preferred) in a Quantitative field such as Econometrics, Statistics, Operations Research, Machine Learning, Applied Mathematics, Computer Science, or related technical area The experience level will vary based on the candidate's degree level 1) PhD Candidates: 1-2 years related experience, or 2) Master of Science Candidates: 2-4 years related experience; or 3) Bachelor of Science Candidates: 5+ years of related experience Experience with applied statistical, machine learning modeling, recommendation systems, and deployment experience Bonus points if You Have Experience on pricing strategy and revenue management Experience with Git, bash/UNIX scripting Pay Scale: $125,000- $140,000 Bonus: This position is eligible for a bonus under the current bonus plan requirements. Benefits: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings. *Employer does not offer work visa sponsorship for this position. What's in it for You? Extraordinary People - we're not kidding! Meaningful Mission- Helping revolutionize an industry and deliver better experiences for fans and clients around the world. Development and Learning - Opportunities for learning and leveling up through training and education reimbursement. Community & Belonging - A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace. Curious about the typical interview process for this position? Here's what to expect: Stage 1: 20-30 virtual preliminary interview Stage:2: 45-min virtual Hiring Manager Interview Stage 3: 60-min virtual technical Interview Stage 4: 30 min final interview More about AXS AXS, a subsidiary of AEG, sells millions of tickets each year for 1600+ premier venues, sports teams, and event organizers across North America, Europe, Asia, Australia and New Zealand. Headquartered in Downtown Los Angeles, California, AXS employs more than 900 professionals in multiple locations worldwide. In each location you'll find a team of dedicated, diverse employees (we've dubbed ourselves “Fanatix”) who create groundbreaking products and services in a fun, fast-paced environment. To learn more about our culture and values, visit: ********************************** More about AEG For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer. Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations. We are dedicated to a diverse, inclusive and authentic workplace, so if you're excited about this role but can't "check every box" in the , we encourage you to apply anyway. You may be the right candidate for this or other roles. AEG reserves the right to change or modify the employee's job description whether orally or in writing, at any time during the employment relationship. AEG may require an employee to perform duties outside their normal description. AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions. We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law. #LI-Hybrid

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.