Senior data scientist jobs in Oxnard, CA

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

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.

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

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: **************

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.

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

Sony Pictures Entertainment (SPE) is home to some of the world's most beloved films and television series. From Cobra Kai to The Night Agent, our content reaches millions worldwide. Behind the scenes, our Insights, Strategy & Analytics (ISA) team empowers storytellers and business leaders with data-driven insights to shape the future of entertainment. We're looking for a Data Scientist with expertise in statistics and advanced machine learning to join our team. You'll work on high-impact projects that combine advanced analytics, machine learning, and experimentation to drive smarter decisions across SPE's production and content distribution businesses. What You'll Do: - Explore and analyze large, complex datasets to uncover audience insights and optimize content adoption. - Build and deploy predictive models and advanced analytics that guide business and creative strategies.- Manage cleansing and feature extraction of large unstructured data and develop insights on top of it- Apply LLMs, prompt engineering, and fine-tuning to tasks such as text analysis, summarization, metadata enrichment, and content tagging- Partner with engineers to productionalize machine learning models and monitor performance.- Create clear, compelling visualizations and communicate insights to both technical and non-technical audiences.- Collaborate with cross-functional partners (marketing, distribution, strategy, finance) to translate data insights into real-world business actions.- Research and test emerging machine learning techniques to keep SPE at the cutting edge. - Champion data-driven decision making within the organization by presenting findings to senior leaders. - Stay at the forefront of data science research and tools, and champion adoption across the ISA team. What We're Looking For: - Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, Math, etc.); advanced degree a plus.- 6+ years of applied experience in data science, analytics, or machine learning.- Proficiency in Python and SQL.- Expertise with statistical modeling and building predictive models.- In depth knowledge of machine learning techniques, variable reduction, feature importance, and model interpretability- Experience with MLOps practices - model lifecycle management, containerization, workflow orchestration (Airflow, Kubeflow).- Familiarity with generative AI (LLMs, prompt engineering, fine-tuning) and open-source frameworks (Hugging Face, LangChain, etc.).- Excellent communication skills - ability to turn complex data into actionable recommendations.- Highly analytical, results oriented, have superior organizational skills with strong attention to details and deadlines in a fast-moving environment Nice to have: - Experience in the media & entertainment industry.- Familiarity with data visualization tools (Tableau, Power BI, Dash, or Shiny).- Experience applying GenAI for audience research, recommendation systems, or content insights. Why Join Us: - Shape the future of entertainment - your work will directly influence how audiences around the world discover and enjoy Sony content.- Collaborate with a diverse team of scientists, engineers, and strategists solving exciting, real-world challenges.- Be part of a culture that values curiosity, innovation, and continuous learning, with access to professional development and cutting-edge tools.- Enjoy the benefits of working at a global studio while contributing to projects that matter. Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

Entertainment At Sony Music Entertainment, we fuel the creative journey. We've played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We've nurtured some of music's most iconic artists and produced some of the most influential recordings of all time. Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we're committed to artistic integrity, transparency, and entrepreneurship. Sony Music Entertainment is a member of the Sony family of global companies. What you'll do * Perform data analysis using SQL/python to identify promising unsigned artists & understand market trends * Build big-data ETL pipelines using python * Build full stack web applications using the following stack (Nest.js, React.js/Vite, TypeORM/Postgres) * Build a mobile application using React Native * Assist with digital marketing analysis to determine campaign effectiveness and help determine strategy Who you are * 3+ years of experience working with data and development or has a master's degree or higher * Experience with SQL, python, and other programming languages and business intelligence tools * A powerful blend of analyst and data developer - skilled at both uncovering insights from complex data and building streamlined applications * Passionate about the music and entertainment business and have a desire to build a career in the industry * Capable of taking direction towards a long-term vision * Have a positive attitude What we give you: * You join an inclusive, collaborative and global community where you have the opportunity to channel your passion every day * A modern office environment designed to foster productivity, creativity, and teamwork empowering you to bring your best * An attractive and comprehensive benefits package including medical, dental, vision, life & disability coverage, and 401K + employer matching * Voluntary benefits like company-paid identity theft protection and resources for pets, mental health and meditation resources, industry-leading fertility coverage, fully paid leave for childbirth or bonding, fully paid leave for caregivers, programs for loved ones with developmental disabilities and neurodiversity, subsidized back-up child and elder care, and reimbursement for adoption, surrogacy, tuition, and student loans * Investment in your professional growth and development enabling you to thrive in our vibrant community. * The space to accelerate progress, positively disrupt, and create what happens next * Time off for a winter recess Sony Music is committed to providing equal employment opportunity for all persons regardless of age, disability, national origin, race, color, religion, sex, sexual orientation, gender, gender identity or expression, pregnancy, veteran or military status, marital and civil partnership/union status, alienage or citizenship status, creed, genetic information or any other status protected by applicable federal, state, or local law. California based applicants have certain rights under California law. Please see our California Recruitment Privacy Policy for more details.

Career CategoryOperationsJob Description Join Amgen's Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Sr Data Scientist What you will do Let's do this! Let's change the world! We are looking for a Data Scientist with a strong engineering background and a creative and innovative approach to join our team. The ideal candidate will use data science and artificial intelligence technology and their knowledge of medical device development and design control to create and improve Combination products and processes. The candidate will have a key role in creating advanced tools using AI and automation technologies for combination product lifecycle. This position also requires data engineering skills to handle and optimize the incoming data, ensuring high-quality data integration and analysis. The candidate will work closely with the product development and engineering teams to understand existing business processes, engineer the future while ensuring compliance with regulatory standards. Responsibilities: Design and implement end-to-end data solutions to support the authoring, management, and analysis of product development and regulatory documentation Develop and deploy AI-driven tools to automate and enhance product development workflows and lifecycle processes Build intuitive data visualizations and dashboards to communicate complex insights to cross-functional stakeholders Collaborate with business and technical partners to identify opportunities for data science, automation, and digital transformation across product lifecycle activities Support and enhance data integration pipelines, ensuring data quality, accessibility, and compliance Promote and enable adoption of digital tools and AI capabilities across the organization through collaboration, training, and documentation Develop and create data products for the authoring and development of regulatory fillings Develop, train, and support cross-functional teams in using digital tools and data products, ensuring effective adoption and long-term value creation. Collaborate with stakeholders to gather requirements, create user stories, and develop business cases that clearly articulate the value and benefits of digital solutions and data-driven approaches. Operate autonomously to drive stakeholder engagement, promoting the adoption of new technologies and data products to enhance the combination product lifecycle. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is an individual with these qualifications. Basic Qualifications: High school diploma / GED and 10 years of Engineering experience OR Associate's degree and 8 years of Engineering experience OR Bachelor's degree and 4 years of Engineering experience OR Master's degree and 2 years of Engineering experience OR Doctorate degree Preferred Qualifications: Advance Degree in Engineering (Mechanical, Biomedical, or Chemical). A minimum of 3 years of experience working in a regulated environment, ensuring compliance with 21 CFR 820 and MDR. A minimum of 3 years of experience in data analytics, including the use of data and statistical methods. Experience designing and deploying data solutions across the full stack-from data centric solution from ingestion and transformation to analytics and visualization Strong proficiency in scripting language like Python and Query Languages like SQL Demonstrated expertise with coding and/or AI platforms, including tools like ChatGPT. Knowledge of statistical analysis, data visualization, and basic machine learning or AI concepts Experience leading technical teams, including prioritizing tasks and managing resources. Strong knowledge of device regulatory requirements, medical device development, engineering processes, and design controls. Experience in developing and executing design plans, protocols, reports, and risk assessments for medical devices. Understanding of Six Sigma methodologies and application of statistical tools for problem-solving. Excellent written and verbal communication skills, with the ability to thrive in a highly matrixed team environment. What you can expect from us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models, including remote and hybrid work arrangements, where possible Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. . Salary Range 137,855.00 USD - 168,574.00 USD

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

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

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.

This is not a remote role. You must be in the local area or open to relocation Office of Technology Enablement (OTE) The Office of Technology Enablement (OTE) is Disney's central engine for transforming emerging tech into real world magic. We orchestrate company-wide efforts in artificial intelligence, machine learning, and mixed reality, empowering every segment-from Studios and ESPN to Parks and Experiences-to unlock new value and delight our guests in responsible, innovative ways. We are seeking an experienced Staff Data Scientist-a trusted technical counterpart to the Manager, AI Enablement and a catalyst for data driven innovation across Disney's businesses. Many of our engagements begin as a simple hunch: a leader senses that smarter data-or the right model-could unlock something special. You'll lead the journey from exploratory discovery through model deployment, guiding partners from discovery to production while nurturing a scalable data flywheel. If you are a hands-on expert who can go deep on ML and inspire cross functional teams to move fast and responsibly, we'd love to meet you. Key Responsibilities Opportunity Discovery and Diagnostic Investigation - Engage segment partners to surface hypotheses, perform data sleuthing to size value, and craft lean proofs of concept to validate ROI in weeks, not months. Experiment Design and Insight Reporting - Structure A/B tests or causal studies, measure impact, and package results into clear, decision ready insights for executives and creative leaders. Data Science and ML Delivery - Design, train, and deploy predictive models, statistical analyses, and machine learning systems that drive guest and business impact. Data Flywheel and MLOps - Stand up cloud native pipelines, feature engineering workflows, and monitoring that keep models healthy post launch. Stakeholder Storytelling - Translate complex findings into compelling narratives and decision frameworks for product, creative, and executive audiences. People Leadership - Recruit, mentor, and coach 1-2 data scientists/engineers; codify reusable assets and best practices. Responsible AI and Governance - Ensure all work aligns with Disney's Responsible AI guardrails in partnership with Legal, Privacy, and Security. Required Qualifications BS in advanced Mathematics, Statistics, Data Science in comparable field of study + 7 years of experience or PhD in advanced Mathematics, Statistics, Data Science in comparable field of study + 3 years of experience. Expert proficiency in Python, SQL, and modern ML/DL libraries (scikit learn, TensorFlow, PyTorch); solid grounding in statistical modeling, experiment design, and causal inference. Hands on experience with AWS, GCP, or Azure and big data frameworks such as Snowflake, Spark, or Databricks. Proven ability to move from whiteboard idea to production solution and influence cross functional teams through data storytelling. Strong software engineering fundamentals (version control, testing, CI/CD); familiarity with data visualization or experimentation platforms (e.g., Looker, Tableau, Optimizely). Preferred Qualifications Domain knowledge in media, streaming, sports, parks, or consumer products. Experience with LLMs, vector search, and retrieval augmented generation. Background in causal inference or experimentation platforms. Prior experience hiring or leading small technical teams. Reporting & Collaboration Reports directly to the Director, ML Architecture & Engineering and partners daily with the Manager, AI Enablement and Staff Architect to align technical design with product outcomes. Ready to turn data hunches into headline making magic? Apply today. #DISNEYTECH The hiring range for this position in Burbank is $152,200.00 to $204,100.00 per year. 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 Job Posting Segment: TWDSTECH Job Posting Primary Business: Technology Enablement Primary Job Posting Category: Data Science Employment Type: Full time Primary City, State, Region, Postal Code: Burbank, CA, USA Alternate City, State, Region, Postal Code: Date Posted: 2025-07-31

Sony Pictures Entertainment (SPE) is home to some of the world's most beloved films and television series. From Cobra Kai to The Night Agent, our content reaches millions worldwide. Behind the scenes, our Insights, Strategy & Analytics (ISA) team empowers storytellers and business leaders with data-driven insights to shape the future of entertainment. We're looking for a Data Scientist with expertise in statistics and advanced machine learning to join our team. You'll work on high-impact projects that combine advanced analytics, machine learning, and experimentation to drive smarter decisions across SPE's production and content distribution businesses. What You'll Do: • Explore and analyze large, complex datasets to uncover audience insights and optimize content adoption. • Build and deploy predictive models and advanced analytics that guide business and creative strategies. • Manage cleansing and feature extraction of large unstructured data and develop insights on top of it • Apply LLMs, prompt engineering, and fine-tuning to tasks such as text analysis, summarization, metadata enrichment, and content tagging • Partner with engineers to productionalize machine learning models and monitor performance. • Create clear, compelling visualizations and communicate insights to both technical and non-technical audiences. • Collaborate with cross-functional partners (marketing, distribution, strategy, finance) to translate data insights into real-world business actions. • Research and test emerging machine learning techniques to keep SPE at the cutting edge. • Champion data-driven decision making within the organization by presenting findings to senior leaders. • Stay at the forefront of data science research and tools, and champion adoption across the ISA team. What We're Looking For: • Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, Math, etc.); advanced degree a plus. • 6+ years of applied experience in data science, analytics, or machine learning. • Proficiency in Python and SQL. • Expertise with statistical modeling and building predictive models. • In depth knowledge of machine learning techniques, variable reduction, feature importance, and model interpretability • Experience with MLOps practices - model lifecycle management, containerization, workflow orchestration (Airflow, Kubeflow). • Familiarity with generative AI (LLMs, prompt engineering, fine-tuning) and open-source frameworks (Hugging Face, LangChain, etc.). • Excellent communication skills - ability to turn complex data into actionable recommendations. • Highly analytical, results oriented, have superior organizational skills with strong attention to details and deadlines in a fast-moving environment Nice to have: • Experience in the media & entertainment industry. • Familiarity with data visualization tools (Tableau, Power BI, Dash, or Shiny). • Experience applying GenAI for audience research, recommendation systems, or content insights. Why Join Us: • Shape the future of entertainment - your work will directly influence how audiences around the world discover and enjoy Sony content. • Collaborate with a diverse team of scientists, engineers, and strategists solving exciting, real-world challenges. • Be part of a culture that values curiosity, innovation, and continuous learning, with access to professional development and cutting-edge tools. • Enjoy the benefits of working at a global studio while contributing to projects that matter. The anticipated base salary for this position is $112K to $146K. This role may also qualify for annual incentive and/or comprehensive benefits. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position. Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

Our Mission Launched in 2012, Tinder revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, "It Starts with a Swipe"" Our Values One Team, One Dream We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own It We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop Learning We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark Solutions We're problem solvers, focusing on how to best move forward when faced with obstacles. We don't dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The Team The Data Science & Analytics team thrives on data-driven insights to make more informed decisions through our insights into our member's behavior, preferences, and common trends. We take ownership over the integrity of our data and work to improve data literacy across Tinder. Recommendations (Recs) is core to Tinder's experience-covering ranking, retrieval, signals, and model evaluation-to improve match quality, conversations, retention, and revenue through principled ML and experimentation. As a Senior Data Scientist on the Recommendations (Recs) team, you will partner closely with Product, Engineering, and Machine Learning (ML) to identify and size new opportunities, strengthen existing algorithms, and shape measurement and experimentation across a two-sided marketplace. You'll build the tooling and dashboards needed for crisp reads and health monitoring, communicate insights and tradeoffs with executive clarity, and serve as a trusted, respected partner to the Recs pod and a mentor for the broader Data Science team. This role will be given wide latitude but high expectations for the development of analyses, models, and plans that will be shared directly with the executive team and help shape the trajectory of our product roadmap. Where you'll work: This is a hybrid role and requires in-office collaboration three times per week in Los Angeles, Palo Alto or San Francisco. In this role, you will: * Work closely with Product, Engineering, and ML to identify and evaluate new opportunities; frame hypotheses, define success metrics and guardrails, and translate findings into clear product recommendations. * Support the ML team in improving algorithms across retrieval, ranking, and personalization; strengthen offline/online evaluation and alignment. * Define and lead experimentation design and analysis tailored to a two‑sided marketplace; drive meta-analyses and playbooks that uplevel reads and decision quality. * Build tools and dashboards to improve experiment reads and KPI monitoring; standardize templates and health checks for fast, reliable iteration. * Deliver executive-ready presentations and docs that clarify options, tradeoffs, risks, and expected business impact. * Be a trusted and respected partner for the Recs pod, focused on delivering the best recommendations for our worldwide member base. * Mentor and inspire other data scientists; review analyses and elevate experimentation, causal inference, and model evaluation practices across the team. You'll Need: * Bachelor's, Master's, and/or Ph.D. degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, or related fields). * 5+ years of professional experience in data science/analytics, with meaningful time in recommender systems, ranking, search, or personalization at consumer scale (or equivalent impact/complexity). * Fluency in SQL and Python (required). * Deep understanding of statistics and causal inference; hands-on experience designing and analyzing online experiments (A/B, variance reduction, sequential testing) and applying quasi-experimental methods when appropriate. * Strong product sense and analytical rigor; ability to frame the right questions, choose fit-for-purpose methods, and land actionable recommendations with cross-functional partners. * Familiarity with machine learning for recommendations, including offline/online metric design and model evaluation for ranking/personalization use cases. Nice to have: * Experience with modern Recs stacks (e.g., retrieval/two‑tower, learning‑to‑rank, embeddings/feature stores) and counterfactual evaluation approaches (IPS/DR, switchback tests). * Working knowledge of Spark or similar large‑scale data tools and MLOps concepts (feature stores, evaluation pipelines, drift/monitoring). * Two‑sided marketplace intuition and guardrail design to protect ecosystem health. * Track record of mentorship, thought leadership, and cross‑functional influence. As a full-time employee, you'll enjoy: * Unlimited PTO (with no waiting period), 10 annual Wellness Days * Time off to volunteer and charitable donations matching * Comprehensive health, vision, and dental coverage * 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP) * 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation * Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual stipend for your professional development * Investment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy * Free premium subscriptions for several Match Group apps - including Tinder Platinum! $160,000 - $170,000 a year Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. #Tinder Commitment to Inclusion At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: ******************************** If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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

Sony Pictures Entertainment (SPE) is home to some of the world's most beloved films and television series. From Cobra Kai to The Night Agent , our content reaches millions worldwide. Behind the scenes, our Insights, Strategy & Analytics (ISA) team empowers storytellers and business leaders with data-driven insights to shape the future of entertainment. We're looking for a Manager Data Scientist to join our growing team. You'll work on high-impact projects that combine advanced analytics, machine learning, and experimentation to drive smarter decisions across SPE's production and content distribution businesses. What You'll Do: Build and deploy predictive models and advanced analytics that guide business and creative strategies Explore and analyze large, complex datasets to uncover audience insights and optimize content adoption Manage cleansing and feature extraction of large unstructured data and develop insights on top of it Partner with engineers to productionalize machine learning models and monitor performance Create clear, compelling visualizations and communicate insights to both technical and non-technical audiences Collaborate with cross-functional partners (marketing, distribution, strategy, finance) to translate data insights into real-world business actions. Research and test emerging machine learning techniques (e.g., natural language processing, deep learning) to keep SPE at the cutting edge. Champion data-driven decision making within the organization by presenting findings to senior leaders. What We're Looking For: Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, Math, etc.); advanced degree a plus. 6+ years of applied experience in data science, analytics, or machine learning. Strong proficiency in Python and SQL. Experience with A/B testing, statistical modeling, and building predictive models. Familiarity with big data tools and cloud platforms, including MLOps (AWS, GCP, or Azure). Excellent communication skills - ability to turn complex data into actionable recommendations. In depth knowledge of machine learning techniques, variable reduction, feature importance, and model interpretability Highly analytical, results oriented, have superior organizational skills with strong attention to details and deadlines in a fast-moving environment Nice to have: Experience in the media & entertainment industry. Familiarity with data visualization tools (Tableau, Power BI, Dash, or Shiny). Experience with building and maintain Directed Acyclic Graphs and/or Docker containers Why Join Us Shape the future of entertainment - your work will directly influence how audiences around the world discover and enjoy Sony content. Collaborate with a diverse team of scientists, engineers, and strategists solving exciting, real-world challenges. Be part of a culture that values curiosity, innovation, and continuous learning, with access to professional development and cutting-edge tools. Enjoy the benefits of working at a global studio while contributing to projects that matter. The anticipated base salary for this position is $112K to $146K. This role may also qualify for annual incentive and/or comprehensive benefits. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position. Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

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