Senior data scientist jobs in Inglewood, CA

We are seeking a highly motivated Data Engineer Key Responsibilities: Build data pipelines that clean, transform, and aggregate data from disparate sources Work closely with our business analysis team to provide unique insights into our data Build robust systems for data quality assurance and validation at scale Qualifications: BS/MS degree in a technical field Advanced Structure Query Language (SQL) and data warehousing experience Bonus Qualifications Exceptional Python or Scala skills Experience designing and building complex data infrastructure at scale Experience with large scale streaming platforms (e.g. Kafka, Kinesis), processing frameworks (e.g. Spark, Hadoop) and storage engines (e.g. HDFS, HBase) Compensation & Benefits: Competitive salary and benefits package. Opportunities for professional growth and development. Collaborative and inclusive work environment. About Us: Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU. IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at *****************************

About the Role: We're building a large-scale synthetic data generation engine to produce realistic observability datasets - metrics, logs, and traces - to support AI/ML training and benchmarking. You will design, implement, and scale pipelines that simulate complex production environments and emit controllable, parameterized telemetry data. 🧠 What You'll Do \t•\tDesign and implement generators for metrics (CPU, latency, throughput) and logs (structured/unstructured). \t•\tBuild configurable pipelines to control data rate, shape, and anomaly injection. \t•\tDevelop reproducible workload simulations and system behaviors (microservices, failures, recoveries). \t•\tIntegrate synthetic data storage with Prometheus, ClickHouse, or Elasticsearch. \t•\tCollaborate with ML researchers to evaluate realism and coverage of generated datasets. \t•\tOptimize for scale and reproducibility using Docker containers. ✅ Who You Are \t•\tStrong programming skills in Python. \t•\tFamiliarity with observability tools (Grafana, Prometheus, ELK, OpenTelemetry). \t•\tSolid understanding of distributed systems metrics and log structures. \t•\tExperience building data pipelines or synthetic data generators. \t•\t(Bonus) Knowledge of anomaly detection, time-series analysis, or generative ML models. 💸 Pay $50 - 75/hr depending on experience Remote, flexible hours Project timeline: 5-6 weeks

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. We are seeking a passionate and motivated Senior Data Scientist to join Tinder's Revenue team. In this role you will partner with Design, Product, Engineering, Machine Learning, and Finance teams to help drive the product roadmap. The ideal candidate will use their expertise in product analytics, monetization strategies, and data science methods to help us make better decisions in the pricing, machine learning offers, and premium experiences space. 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, CA. In this role, you will: Evaluate the impact of new features and monetization initiatives holistically, measuring effects on revenue, user engagement, and long-term retention and translating findings into clear recommendations for product and executive stakeholders. Partner with product revenue leads to identify new opportunities by leveraging data to make recommendations on new business initiatives. Design, execute, and analyze A/B and paired market experiments to ensure statistically valid results guarded against noise and biases. Partner with Product and ML teams to refine and scale pricing, forecasting, and uplift models, delivering actionable insights into user-segment behavior, market dynamics, and monetization opportunities. Work in a fast-paced and dynamic environment with concise and impactful communication directly to executive leadership. Provide guidance and mentorship to junior data scientists, fostering a collaborative and growth-oriented environment within the team. Stay up-to-date with industry trends, emerging technologies, and best practices in data analytics, data science, and pricing strategies You'll need: Bachelor's, Master's, and/or Ph.D. degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Physics, or related fields). 4+ years of professional working experience in Data Science and/or analytics. 2+ years of industry experience in pricing strategy or monetization analytics, preferably in a related industry (mobile apps, two-sided marketplaces, online dating, social networks, etc., is a plus). Advanced understanding of descriptive statistics and experimentation, and confidence in implementation of those methods at scale. Expertise with SQL and data visualization tools (e.g. Tableau or Mode) and proficiency in a programming language such as Python or R for data analysis and modeling. Resilience and agility to react and communicate fast, prioritizing time on the most impactful projects. Excellent communication skills, both written and verbal, with the ability to present complex ideas and results to non-technical stakeholders. Proven track record of successfully leading cross-functional projects, managing stakeholders, and driving impact with data-driven insights. 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.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

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

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

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

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

Viking River Cruises is seeking a highly skilled and innovative Data Scientist to join our Advanced Analytics team. Reporting to our Director, Advanced Analytics you will play a pivotal in driving data-driven decision-making and enhancing customer engagement across all channels. Our ideal candidate will have a strong background in predictive modeling, personalization engines, and cross-functional collaboration. This is a hybrid position based in our Woodland Hills, CA office. You will be required to adhere to our hybrid work policy, working from our office Monday and Thursday plus one additional weekday on a weekly basis. Job Responsibilities: Design, build, and refine predictive models to optimize customer engagement across digital and offline channels. Define, iterate, and implement a dynamic Next Best Action (NBA) engine to deliver personalized recommendations aligned with booked passenger goals and preferences. Ensure the integrity and accuracy of data through rigorous testing and validation of models. Apply advanced statistical and machine learning techniques to understand customer behavior and campaign performance. Wrangle, process, cleanse, verify, and enrich data from different sources used for analysis and modeling. Proven experience with data analytics, feature engineering, and building end-to-end ML pipelines Familiarity with fine-tuning and applying Large Language Models (LLMs) such as GPT, LLaMA, or Claude for NLP and generative tasks Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines Experience integrating AI/ML models into secure or cloud-hosted environments Translate complex data into actionable insights to support strategic initiatives across sales, marketing, and operations. Develop and maintain dashboards and reporting tools to monitor model performance and business impact. Partner with cross-functional teams to identify opportunities for data-driven enhancements and integrating predictive models into customer-facing platforms Develop best practices in model governance and deployment. Job Requirements: Master's or Ph.D. in Data Science, Statistics, Computer Science, or related fields. 8+ years of relevant experience in predictive modeling, machine learning, and personalization systems. Proficiency in Python, R, SQL, cloud-based platforms (e.g., AWS, Azure), data platforms like Databricks and ML frameworks such as PyTorch, TensorFlow, or Scikit-learn Experience with recommendation systems, NBA frameworks, and customer journey analytics. Understanding of software engineering foundations - including clean code practices, testing, version control, and CI/CD workflows. Comprehensive understanding of the ML lifecycle, from experimentation to model development and deployment. Strong communication skills and ability to present technical concepts to non-technical stakeholders. Preferred Skills: Background in travel and hospitality Familiarity with tools like Power BI Knowledge of customer segmentation, lifecycle modeling, and A/B testing. What We Offer You: · Highly competitive compensation plan. o Salary range $200,000 - $240,000 annually determined by a myriad of factors including, but not limited to, years of experience, depth of experience, individual qualifications and other relevant business considerations. o Employees are eligible for annual discretionary bonus. o 401(k) plan with company match. o Employee Share Purchase Plan (ESPP) Viking full-time regular employees working in the United States can purchase Viking shares through payroll deductions. · Full benefits including medical, dental, vision, life and disability insurance at a highly subsidized rate (some plans are fully paid by Viking). · Accrue 15 paid vacation days, sick time accrual by state, and 6 paid holidays per year. · Opportunity to take a free and/or discounted cruise. · Highly subsidized gym membership. · Discounts on theatres, theme parks, movie tickets, travel discounts through IATA membership and too many more discounts to name. Viking is a certified Great Place to Work company. This certification is a result of our commitment to excellence, integrity and our teams' outstanding contributions. About Viking Viking was founded in 1997 and provides destination-focused voyages on oceans, rivers and lakes around the world. Designed for experienced travelers with interests in science, history, culture and cuisine, Chairman Torstein Hagen often says Viking offers experiences for The Thinking Person . Viking has more than 250 awards to its name, including being rated #1 for Rivers, #1 for Oceans and #1 for Expeditions by Condé Nast Traveler and voted at the top of its categories by Travel + Leisure . No other cruise line has ever received these same honors by both publications at the same time.

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: **Building the future of Disney's media:** Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. **Reach, Scale & Impact:** More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News...and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. **Innovation:** We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The research/AI fleet is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance Ad decisioning, forecasting, experimentation and Ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead analytical initiatives that shape the future of advertising technology. You will be responsible for designing and executing data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization. WHAT YOU'LL DO + Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. + Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. + Define and evaluate key metrics in various product areas. + Deliver data insights and provide data-driven recommendations to cross-team stakeholders. + Design and analyze A/B tests for machine learning algorithm iterations. + Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. + Mentor team members and support their technical growth. WHAT TO BRING + At least 7 years of relevant industry experience in data science at leading internet companies. Experience in the advertising domain is preferred. + Solid knowledge of data science and statistics. Strong communication skills and business acumen. + Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. + Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. + Passionate about technology and experienced in building data-driven services and applications. + A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES + Experience in digital video advertising or digital marketing domain + Experience with machine learning models. + Experience with Airflow, data warehouse, Databricks or Sagemaker Required Education + Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field \#DISNEYTECH The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. 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 ID:** 10137362 **Location:** Santa Monica,California **Job Posting Company:** Disney Entertainment and ESPN Product & Technology The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

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.

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!

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. We are seeking a passionate and motivated Senior Data Scientist to join Tinder's Revenue team. In this role you will partner with Design, Product, Engineering, Machine Learning, and Finance teams to help drive the product roadmap. The ideal candidate will use their expertise in product analytics, monetization strategies, and data science methods to help us make better decisions in the pricing, machine learning offers, and premium experiences space. 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, CA. In this role, you will: * Evaluate the impact of new features and monetization initiatives holistically, measuring effects on revenue, user engagement, and long-term retention and translating findings into clear recommendations for product and executive stakeholders. * Partner with product revenue leads to identify new opportunities by leveraging data to make recommendations on new business initiatives. * Design, execute, and analyze A/B and paired market experiments to ensure statistically valid results guarded against noise and biases. * Partner with Product and ML teams to refine and scale pricing, forecasting, and uplift models, delivering actionable insights into user-segment behavior, market dynamics, and monetization opportunities. * Work in a fast-paced and dynamic environment with concise and impactful communication directly to executive leadership. * Provide guidance and mentorship to junior data scientists, fostering a collaborative and growth-oriented environment within the team. * Stay up-to-date with industry trends, emerging technologies, and best practices in data analytics, data science, and pricing strategies You'll need: * Bachelor's, Master's, and/or Ph.D. degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Physics, or related fields). * 4+ years of professional working experience in Data Science and/or analytics. * 2+ years of industry experience in pricing strategy or monetization analytics, preferably in a related industry (mobile apps, two-sided marketplaces, online dating, social networks, etc., is a plus). * Advanced understanding of descriptive statistics and experimentation, and confidence in implementation of those methods at scale. * Expertise with SQL and data visualization tools (e.g. Tableau or Mode) and proficiency in a programming language such as Python or R for data analysis and modeling. * Resilience and agility to react and communicate fast, prioritizing time on the most impactful projects. * Excellent communication skills, both written and verbal, with the ability to present complex ideas and results to non-technical stakeholders. * Proven track record of successfully leading cross-functional projects, managing stakeholders, and driving impact with data-driven insights. 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. 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

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.

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

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

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.

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.

Data Scientists at Disney Entertainment Direct-to-Consumer are the modeling and insights partners for the Content, Product, Marketing, Analytics, Business Operations, and Engineering teams at Disney+, Hulu, and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners. WHAT YOU'LL DO Modeling: Design, build and improve machine learning models related to subscribers' behavior. Work on the entire development process, i.e., data collection, feature engineering, algorithm development, analysis, visualization, and communicating the results. Collaborate with the team to productionize models. Drive experimentation to test the impact of the models. Deep analysis: Develop comprehensive understanding of subscriber data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers. Visualization of Complex Data sets: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights, and communicating them clearly and visually. Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture. Minimum Qualifications Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study 3+ years of experience designing, building, and evaluating practical machine learning solutions 2+ years of experience with a programming language for data science or statistics like Python, R, especially experience with scientific libraries like Numpy, Pandas. Experience with reading and writing complex SQL queries and using Databases Deep understanding of machine learning concepts and statistical methods Strong communication skills, for both technical and non-technical audiences Desire to collaborate with other data scientists, data engineers, analysts, and business partners Preferred Qualifications Masters or Doctorate degree in Statistics, Econometrics, Mathematics, Computer Science, Engineering, or related field Previous experience in marketing analytics and consumer insights, especially in the subscription services sector Excellent analytical skills and advanced level of statistics knowledge Familiarity with data exploration and data visualization tools such as Tableau, Looker Experience developing interactive data apps using packages such as R Shiny or Streamlit Strong expertise with Python and libraries such as scikit-learn and scipy Familiarity with data platforms and applications such as Jupyter, Snowflake, Github, Databricks, Airflow #DISNEYANALYTICS #DISNEYTECH The hiring range for this position in New York, NY is $120,800 to $168,700 per year. Santa Monica, CA and Glendale, CA is $114,900 to $154,100 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: Direct to Consumer Job Posting Primary Business: DTC Analytics and Data Science Primary Job Posting Category: Data Science Employment Type: Full time Primary City, State, Region, Postal Code: Santa Monica, CA, USA Alternate City, State, Region, Postal Code: USA - CA - 1200 Grand Central Ave, USA - NY - 7 Hudson Square Date Posted: 2025-08-20