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Data Science Analytics Jobs in California (NOW HIRING)

Roblox

[2026] Data Scientist, Social

San Mateo, CA · On-site

The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen of making decisions at scale by instilling a data-influenced approach to building products. We ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Data analysis and machine learning pipelines * AI agents, retrieval systems, and evaluation ... Computer Science * Data Science & Analytics * Applied AI & Machine Learning * Enterprise ...

Evolver

Applied Data Science Intern

Palo Alto, CA

Data analysis and machine learning pipelines * AI agents, retrieval systems, and evaluation ... Computer Science * Data Science & Analytics * Applied AI & Machine Learning * Enterprise ...

Align Technology

Sr. Data Scientist

San Jose, CA · On-site

... data science skills, including data extraction, exploratory and confirmatory analysis, modeling, and validation • Design and develop advanced ML or Agentic AI solutions, including systems that ...

Lyft

Data Science Manager, Mapping

San Francisco, CA · On-site

Data Science & Analytics is at the heart of Lyft's products and decision-making. You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

Strong skills in scientific data analyses, modeling, visualization and communication of results. * Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

Strong skills in scientific data analyses, modeling, visualization and communication of results. * Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB ...

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All JobsData Science Analytics JobsData Science Analytics Jobs in California

Data Science Analytics information

See California salary details

$24

$54

$93

How much do data science analytics jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for data science analytics in California is $54.03, according to ZipRecruiter salary data. Most workers in this role earn between $43.41 and $61.20 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Analytics professional, and why are they important?

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

What is the difference between Data Science Analytics vs Data Analyst?

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.
What are the most commonly searched types of Data Science Analytics jobs in California? The most popular types of Data Science Analytics jobs in California are:
What are popular job titles related to Data Science Analytics jobs in California? For Data Science Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Science Analytics jobs in California look for? The top searched job categories for Data Science Analytics jobs in California are:
What cities in California are hiring for Data Science Analytics jobs? Cities in California with the most Data Science Analytics job openings:
Data Science Analytics jobs near you
Infographic showing various Data Science Analytics job openings in California as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $112,382 per year, or $54 per hour.
Senior / Principal Data Scientist - Discovery

Senior / Principal Data Scientist - Discovery

Roblox

San Mateo, CA

Other

Re-posted 23 days ago

Job description

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers.

WHY DISCOVERY EXPERIENCES? 

Roblox is not just a platform; it is a complex, two-sided marketplace where millions of creators meet over 70 million daily active users. The Discovery Experiences team is the technical heartbeat of this ecosystem. We own the surfaces-Home, Search, Matchmaking, and Notifications-that determine how users navigate the metaverse.

As a Data Scientist, you will own the ranking initiatives that power these canvases. You aren't just building models; you are building the economic and social frameworks that decide which experiences thrive. You will report directly to the Senior Director of Data Science and serve as a high-visibility IC leader driving the roadmap for our most critical consumer touchpoints.

You Will:

  • Algorithmic Vision: Lead the development of ML solutions and ranking frameworks that power our discovery canvases. You will move beyond local optimizations to solve for long-term ecosystem health and user retention.
  • Strategic XFN Partnership: Act as the primary scientific advisor to Product and Engineering leaders. You will use data to inform, drive, and accelerate innovations via deep-dive insights and ML prototypes.
  • Causal Inference & Experimentation: Leverage advanced causal inference methodologies to measure the effectiveness of platform initiatives (e.g., social features or site-wide events) that are often susceptible to complex network effects.
  • Foundational Scaling: Develop frameworks to scale the hypothesis generation process, ensuring that our experimentation velocity matches our massive growth.
  • First-Principles Problem Solving: Apply creative, first-principles reasoning to ambiguous problems, such as balancing the visibility of established "top tier" experiences with the discovery of new, niche UGC content.

You Have: 

  • Advanced degree (Masters or PhD) in a quantitative field (Statistics, CS, Physics, Applied Math, or Economics).
  • 10+ years of experience (or 6+ with a PhD) in Data Science, Economics, or ML Engineering, specifically within large-scale recommendation systems or UGC content platforms.
  • Expert in the modern data stack (Python, R, SQL, Hive, Spark, Airflow) and have a deep theoretical and practical understanding of Deep Learning.
  • Ability to design sophisticated experiments that account for the nuances of a two-sided marketplace and social network effects.
  • Ability to distill high-dimensional problems into succinct, actionable narratives for non-technical executive audiences.

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