1,448 Results for

Data Scientist Jobs in Glendale, CA

Jobs

Los Angeles, CA26 days ago

Remote

$82,000–$145,000 Per Year
Temporary
Contractor
Full-time

A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.

Torrance, California17 days ago

Client is seeking an Engineering Research Scientist with a strong EE/RF background and technical proposal writing background to join the Engineering Team, which works on advancing cutting-edge technology for integration into advanced systems and platforms in the aerospace industry. Lead the creation of new concept/architecture design, development, and implementation activities related to RF sensing and processing components/systems development including simulation and modeling, prototyping, and testing.

New!

Irvine, CA3 days ago

$150,000–$175,000 Per Year

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Los Angeles, CA12 days ago

Full-time
Employee

Since 2010, SynergisticIT has helped candidates land full-time roles at organizations such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Deloitte, and hundreds more. They’re filtered by ATS systems, keyword screening, and recruiters looking for job-ready signals—specific stacks, strong project depth, relevant certifications, and clear experience narratives.

Los Angeles, California30+ days ago

This role offers an opportunity for impact across program areas spanning the Los Angeles County homelessness system, including but not limited to outreach and response to unsheltered people, interim housing and temporary shelters, permanent supportive housing and case management services that sustain people in housing, and benefits entitlement programs. 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 of Data Scientist.

Los Angeles, California30+ days ago

Los Angeles, CA30+ days ago

$119,403.36–$160,912.32 Per Year

SPECIAL REQUIREMENTS INFORMATION: Experience at the level of Data Scientist is defined as under general supervision, develops and applies methods to identify, collect, process, organize, and analyze structured and unstructured data using statistical prediction, inference, and optimization; effectively communicates results to County, departmental, and divisional decision makers to support data-driven program design and management. Requirements TRAINING AND EXPERIENCE:Option I: Two (2) years of experience carrying out complex data science projects that included independently developing and applying methods to identify, collect, process, structure, and analyze data using statistical prediction, inference, and optimization to support data-driven program design and management, at a level equivalent to the Los Angeles County class of Data Scientist.

Los Angeles, CA30+ days ago

$113,103.36–$152,409.84 Per Year

Essential Job Functions Handles data requests from California and Los Angeles County Correctional Facilities regarding individual's substance use disorder (SUD) treatment history by verifying Releases of Information (ROI) and conducting data mining and analysis across multiple datasets in Sage (e.g., screening/assessments, CalOMS, claims) to respond timely and effectively; maintains transparency through detailed records of all data requests, analyses, and outcomes. The Data Scientist is distinguished from the Predictive Data Analyst in that the latter applies well-established analytic principles, methods, and procedures within existing data systems and architectures to complete well-defined, routine to moderately difficult functions and projects, whereas Data Scientists may develop or assist in developing new analytic methods, functions, and data architectures as necessary to complete complex projects, including those involving unstructured data.

Los Angeles, CA30+ days ago

Full-time

CA30+ days ago

$170,000–$190,000 Per Year

This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.

Los Angeles, CA30+ days ago

Expertise of SQL queries, ETL, AB Testing, and statistical analysis (e.g., hypothesis testing, experimentation, regressions with statistical packages such as Matlab, R, SAS, or Python) • Proficiency in one or more analytics & visualization tools (e.g., Chartio, Looker, Tableau) • The insight to take ambiguous problems and solve them in a structured, hypothesis-driven data-supported way. We value a diverse workforce-people who identify as women, non-binary, or gender non-conforming, LGBTQIA, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers, and parents, and veterans are strongly encouraged to apply.

Los Angeles, CA23 days ago

$128,000–$252,500 Per Year

Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.

Los Angeles, CA10 days ago

$95,600–$188,400 Per Year

Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions and framework design, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.

Santa Monica, CA30+ days ago

$155,700–$208,700 Per Year

You will be responsible for designing and executing ML and data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization, as well as leading evaluation and optimization of generative AI mixed media advertisement creation and enhancement technologies. 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.

Santa Monica, CA10 days ago

Remote

$90–$102 Per Hour

The ideal candidate will combine strong machine learning expertise with experience in GenAI agent development and scalable ML pipelines, enabling actionable insights for stakeholders across GDDI, Sales, Marketing, Sales Analytics, and Advanced Analytics functions. • This role focuses on building data science and AI-driven solutions, including predictive patient event modeling, Next Best Action (NBA) engines for HCP engagement, and GenAI-powered decision agents to enhance commercial effectiveness.

Los Angeles, CA16 days ago

$33.96–$69.54 Per Hour

As a condition of employment, the final candidate who accepts an offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; or have filed an appeal of a finding of substantiated misconduct with a previous employer. In this role, you will apply computational and analytical methods to real-world challenges while collaborating with cross-functional teams across diverse IT and research environments.

Duarte, CA17 days ago

Remote

$48–$62 Per Hour

You'll work hands-on with structured and unstructured healthcare data, design and implement state-of-the-art models (including LLMs and RAG-based architectures), and lead cross-functional collaborations to bring solutions to production at scale. * Initiate and lead novel research in machine learning and AI, especially in deep learning, large language models (LLMs), and retrieval-augmented generation (RAG).

El Segundo, CA30+ days ago

$100,000–$120,000 Per Year

The ideal candidate has a practical background in machine learning and deep learning, with recent hands-on experience in natural language understanding, large language models (LLMs), generative AI applications, retrieval-augmented generation (RAG), or agentic AI systems. Skills and Qualifications: 2-4 years of data science experience with expertise in predictive analytics, B.S., M.S. or PhD in Data Science, Computer Science, Software Engineering, Information Science, Mathematics, Statistics, Electrical Engineering, Physics or related fields or equivalent experience.

Los Angeles, CA30+ days ago

$117,000–$179,600 Per Year

General Information Locations: Kirkland, Washington, United States of America Location: Kirkland Country: United States of America Location: Los Angeles - Del Rey Country: United States of America Location: Austin Country: United States of America Location: Orlando Country: United States of America Role ID 211632 Worker Type: Regular Employee Studio/Department: CT - Data & Insights Work Model: Hybrid. CausalImpact, Fixed Effect Regression), and experimental design • Strong experience with Python/R and SQL • Comfort working in a Bayesian modeling framework • Ability to communicate technical results to non-technical stakeholders.

CA30+ days ago

$372,000–$600,000 Per Year

What You Will Do: Partner with games product and cloud gaming stakeholders (e.g., Games Product Management team, Games Social team, Controller team) on data science and ML initiatives (e.g., ML modeling, causal inference, experimentation etc). Who You Are: At least 5 years of experience with a PhD degree in Statistics, Computer Science, Econometrics, Mathematics, Engineering or a relevant quantitative field or 8+ years of experience with a Master degree in those fields.

Los Angeles, CA17 days ago

$33.96–$69.54 Per Hour

Los Angeles, California30+ days ago

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. The driving force behind HSH is increasing accountability and transparency, improving care for people experiencing or at risk of homelessness, and streamlining collaboration with partners including services providers, the County’s 88 cities, and unincorporated areas to deliver high-quality, life-saving care.

CA30+ days ago

Our FDA-cleared computer vision and AI solutions help dental professionals detect disease earlier, improve patient outcomes, and deliver better care at scale. You'll work closely with product, engineering, clinical, and business stakeholders to turn complex data into actionable insights and scalable solutions.

New!

CA6 days ago

$140,000–$175,000 Per Year

Bachelor's degree or higher in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field, plus 3+ years of experience working with real-world, industry, or production data in a data science, applied ML, or analytics role. As of January 1, 2026, Cordial does not provide visa sponsorship, visa transfers, immigration support, or employment-related documentation for immigration purposes, including letters supporting visa applications, renewals, transfers, or work authorization, for new hires.

30+ days ago

We acquire iconic brands and transform them with Genesis-our operating platform unifying a Data Fabric, Automation Engine, proprietary tools, and shared services-to modernize operations, elevate customer experience, and expand margins. With $1B+ in revenue across 13 brands, our portfolio includes Sur La Table, Backcountry, One Kings Lane, and more-premier home and outdoor banners that double as real-world innovation hubs.

CA30+ days ago

$372,000–$600,000 Per Year

Because experimentation is so pervasive at Netflix, we continually enable new capabilities and onboard new initiatives to the platform with close cross-functional collaboration with our Data Science partners. We are looking to expand the number of full-stack data science faculty on the team to better support experimentation best-practice and drive further innovation in data science tooling.

El Segundo, California23 days ago

A cutting-edge marketing and consumer insights platform, Prodege has charted a course of innovation in the evolving technology landscape by helping leading brands, marketers, and agencies uncover the answers to their business questions, acquire new customers, increase revenue, and drive brand loyalty & product adoption. This is reflected in well-designed experiments and frameworks that drive confident business choices, analytical insights that meaningfully influence strategy, and strong partnerships with Analytics Engineering and Machine Learning through precise data definitions and feature guidance.

CA30+ days ago

$170,000–$720,000 Per Year

Our Commerce Data Science team works with a broad range of collaborators and stakeholders, including Product, Engineering, and Finance, to inform commerce strategy and data-informed decision-making through analysis, metrics research, experimentation, causal inference, and modeling, but also through exceptional judgment, partnership, and business acumen. Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages.

Burbank, CA30+ days ago

$124,000–$175,000 Per Year

Specific projects will include contributing to the models driving Paramount+'s financial forecasts and designing the ML Ops platform that will enable the Data Science team to scale their model deployments. We are seeking a Senior Data Scientist who is excited to deploy MLOps products that shape business strategy, optimize content, inform marketing investment decisions, and enhance the user experience.

CA30+ days ago

$185,300–$247,800 Per Year

Support for Titans at all stages of life: Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more. As the Lead Data Scientist on our Operations data science team supporting the Finance organization, you will use machine learning, generative AI, and data-driven insights to drive financial planning, optimize spend, and inform strategic decision-making across ServiceTitan.

Culver City, CA30+ days ago

Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more. The Apple Media Products Data Science & Analytics organization is passionate about developing discerning insights and machine learning solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy.

New!

Glendale, CA6 days ago

$155,000–$170,000 Per Year

Public Storage is the nation's leading self-storage provider, recognized for its iconic orange doors and commitment to delivering simple, reliable solutions to millions of customers across the country. Since opening our first self-storage facility in 1972, Public Storage has grown to become the largest owner and operator of self-storage facilities in the world.

CA30+ days ago

Remote

$176,900–$230,000 Per Year

Additional Perks: Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Reimbursement for office setup expenses Monthly cell phone & internet stipend Remote-first culture, enabling collaboration with global teams Paid parental leave for all new parents * And much more! From building models that assist physicians in treating conditions to identifying members in need of specialized care, Data Science at Clover develops data products and insights that are central to our mission and differentiation as a company.

CA23 days ago

$175,000–$234,000 Per Year

Search sits at the intersection of nearly every product surface at Nextdoor: it powers neighbor-to-neighbor discovery, connects neighbors to trusted local businesses (a core part of our marketplace and SMB strategy), and increasingly relies on LLM-driven query understanding and semantic retrieval to handle the long, conversational queries our neighbors actually ask. Strong working knowledge of experimentation, including designing and analyzing complex product A/B testing results, with fluency in handling interaction effects and long-term metric movement.

Los Angeles, CA9 days ago

The Applied Research team is a group of data scientists and content specialists who are experts in leveraging machine learning, natural language processing and generative AI models to develop solutions which deliver value to our users and business. We are seeking a curious and collaborative individual with an eye for simplicity, end-end visibility and impact and that is excited about building models using massive amounts of data, using language models and deploying models.

El Segundo, CA30+ days ago

Remote

$110,000–$125,000 Per Year

Proven experience in media mix modeling, media attribution, and incrementality testing, ideally gained within a measurement vendor, media agency, or sophisticated in-house marketing science function, with familiarity in how measurement solutions are scoped, delivered, and communicated to stakeholders. Ideal Candidate: We seek a detail-oriented, solutions-focused Data Scientist with a deep understanding of the media measurement landscape and experience evaluating marketing effectiveness at scale from within a measurement vendor, media agency, or in-house marketing science team.

Cerritos, CA30+ days ago

$120,000–$150,000 Per Hour

Experience with AB Testing and pseudo-A/B test setup and evaluationsAdvanced SQL experience, query optimization, data extractAbility to build, validate, and productionize modelsPreferred Qualifications:Strong business acumenExperience in deploying end to end Machine Learning models5+ years of DS and ML experience preferredAdvanced SQL and Python, with query and coding optimization experienceExperience with E-commerce marketing and product analytics is a plusA successful candidate works well in a dynamic environment with minimal supervision. Contribute to the development of the company''s data science strategy and roadmapRequired Competencies:To perform the job successfully, an individual should demonstrate the following competencies:Outstanding analytical skills, with strong academic background in statistics, math, science or technology.

Culver City, CA30+ days ago

Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more! The Services Products Data Science & Analytics organization is passionate about developing discerning insights and machine learning solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy.

El Segundo, CA25 days ago

$165,000–$200,000 Per Year

Job Description: Prodege: A cutting-edge marketing and consumer insights platform, Prodege has charted a course of innovation in the evolving technology landscape by helping leading brands, marketers, and agencies uncover the answers to their business questions, acquire new customers, increase revenue, and drive brand loyalty & product adoption. This is reflected in well-designed experiments and frameworks that drive confident business choices, analytical insights that meaningfully influence strategy, and strong partnerships with Analytics Engineering and Machine Learning through precise data definitions and feature guidance.

Los Angeles, CA30+ days ago

$66,972–$72,013 Per Year

Support training, mentorship, and capacity-building within team and community, including mentoring and potentially collaborating with graduate students and post-baccalaureate students on research projects related to human-wildlife interactions, community science, participatory science, and biodiversity monitoring (~5% of time). The Project Data Scientist will lead data management, analysis, and community-centered data practices across multiple applied, interdisciplinary research projects focused on human-wildlife interactions, biodiversity monitoring, One Health, and environmental justice.

Los Angeles, CA30+ days ago

$131,200–$172,200 Per Year

Responsibilities: • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions • Own projects end-to-end, including problem definition, implementation, validation, and iteration • Deliver high-quality analytical and modeling outputs with limited manager oversight • Collaborate closely with data science peers and cross-functional partners across business units • Help ensure data science processes and outputs align with broader team strategies and roadmaps • Provide guidance or informal mentorship to junior data scientists or analysts when needed • Contribute to improving data science practices, tooling, and documentation. Requirements: • 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both) • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data • 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing.

CA30+ days ago

You will not be primarily training large models - you will make sure the people training and serving models have high-quality, well-governed, well-engineered data to work with, and you will use your data science skills to validate that the data is fit for purpose. Lead data discovery: Profile our lending, deposit, and behavioral datasets to identify hidden trends, segments, anomalies, and potential model drivers; turn findings into actionable hypotheses for product, risk, and growth teams.

New!

Irvine, CA4 days ago

$72.30–$76.96 Per Hour

Partner with the Digital Endpoints team to define, prototype, and scale a new suite of 3D digital endpoints for facial aesthetics applications, extending the team's existing library of 100+ 2D endpoints. In this role, you will lead the validation of a state-of-the-art 3D capture system, architect robust validation pipelines using photogrammetry-rendered 3D imagery, and collaborate cross-functionally to define and develop the next generation of 3D digital endpoints in the facial region for aesthetics applications.

Santa Monica, CA30+ days ago

Full-time

At the center of this effort is PlayDX, our intelligence platform that brings together behavioral data, community sentiment, qualitative and quantitative research, and advanced analytics to uncover the motivations, tensions, and connections players form with games, shaping how they discover, engage with, and stay loyal to them. This integrated approach gives publishers and studios dynamic access to player insights, helping teams anticipate player behavior, respond more quickly to the signals that matter most, and make better decisions across marketing, product, and community strategy.

Santa Monica, California30+ days ago

CA30+ days ago

Remote

$164,900–$213,400 Per Year

We collaborate with partners across the company to solve the most analytically challenging problems -- everything from informing how we set prices across almost a thousand local services categories, to evaluating the impact of a new business model on company performance, to identifying early predictors of high-quality customers. This role sits on the supply side of our Fulfillment pillar, focused on capturing richer inputs from pros and routing that signal into our matching, pricing, and demand fulfillment models - making the marketplace smarter and more valuable on both sides.

New!

Santa Monica, CA6 days ago

Remote

$80–$100.72 Per Hour

The ideal candidate will combine strong machine learning expertise with experience in GenAI agent development and scalable ML pipelines, enabling actionable insights for stakeholders across GDDI, Sales, Marketing, Sales Analytics, and Advanced Analytics functions. This role focuses on building data science and AI-driven solutions, including predictive patient event modeling, Next Best Action (NBA) engines for HCP engagement, and GenAI-powered decision agents to enhance commercial effectiveness.

New!

Los Angeles, CA6 days ago

$131,200–$172,200 Per Year

Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.

CA30+ days ago

$372,000–$600,000 Per Year

You are: • Experienced in metric development and measurement in the domain of system reliability / availability for large, distributed systems, platforms, and/or infrastructure • Fluent in at least one analytics and scripting language like Python • Experienced in engineering data pipelines and ETL in languages like SQL and workflow orchestration tools like Apache Airflow • Passionate about using data to help guide strategic decision making • An exceptional communicator with both technical and non-technical audiences. Experienced at telling stories with data and communicating to stakeholders at all levels of the business • Experienced in building strong relationships with stakeholders and colleagues to tackle big, cross-functional problems • Comfortable with ambiguity, and thrive with minimal oversight and process • A strong product thinker with good product sense: you know how to get at what our partners need and how to develop solutions to satisfy those needs.

CA30+ days ago

$372,000–$600,000 Per Year

projected annualized costs) Drive adoption of infrastructure metrics within the experimentation community through analysis, consultation with experiment owners, documentation, and training Partner with platform teams (Observability, Experimentation Platform) to improve the quality and coverage of infrastructure usage data feeding our models Extend our measurement framework to new metrics (e.g., latency) and new experiment types (e.g., infrastructure canary tests) Champion an infrastructure lens within the broader experimentation community, helping shift culture toward reasoning about the full ROI and infrastructure impact of experiments Connect with the larger analytics and experimentation communities at Netflix to bring visibility to our work and learn from others. You will work closely with partners in data science, platform engineering, and experimentation platform teams to build and maintain models and experimentation capabilities that predict the cost and performance implications of A/B tests, enabling experiment owners to make more holistic decisions that balance member impact with infrastructure performance.

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