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Statistics Data Science Jobs in California (NOW HIRING)

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Demonstrated experience using machine learning, deep learning, statistical methodology, and ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Demonstrated experience using machine learning, deep learning, statistical methodology, and ...

Remitly

Senior Data Scientist I

San Diego, CA · On-site +1

$127K - $158K/yr

Serve as a domain expert in Data Science and/or Statistical Analyses to build advanced models and roll into production and execute team\'s Data Science best practices. Scope out and execute new ...

New

Deloitte

AI and Data Science Engineer III

San Diego, CA · On-site +1

$121K - $146K/yr

Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or another STEM field * 4+ years of experience building and delivering large language model or generative artificial ...

Deloitte

AI and Data Science Engineer III

Costa Mesa, CA · On-site +1

$122K - $147K/yr

Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or another STEM field * 4+ years of experience building and delivering large language model or generative artificial ...

Deloitte

AI and Data Science Engineer III

San Francisco, CA · On-site +1

$134K - $162K/yr

Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or another STEM field * 4+ years of experience building and delivering large language model or generative artificial ...

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All JobsStatistics Data Science JobsStatistics Data Science Jobs in California

Statistics Data Science information

See California salary details

$45.4K

$162.9K

$240.3K

How much do statistics data science jobs pay per year?

As of Jun 17, 2026, the average yearly pay for statistics data science in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What jobs can I get with a statistics and data science degree?

A statistics and data science degree prepares you for roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and quantitative analyst. These positions typically require skills in programming languages like Python or R, data visualization, and statistical modeling, often within technology, finance, healthcare, or consulting industries.

What are the key skills and qualifications needed to thrive as a Statistics Data Scientist, and why are they important?

To thrive as a Statistics Data Scientist, you need a solid background in statistics, mathematics, and programming, often supported by a degree in a quantitative field. Proficiency with statistical software (such as R or SAS), programming languages (like Python), and data visualization tools is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and conveying insights to stakeholders. These competencies ensure accurate data analysis, actionable business solutions, and clear communication within cross-functional teams.

What do you do in statistics and data science?

In statistics and data science, professionals analyze data to identify patterns, develop models, and generate insights that inform decision-making. They use tools like Python, R, and SQL, and often work with large datasets, applying techniques such as machine learning, data visualization, and statistical testing to solve complex problems. These roles typically require strong analytical skills and knowledge of statistical methods and programming.

Can you be a data scientist with a statistics degree?

Yes, a statistics degree can provide a strong foundation for a data scientist role, as it covers essential skills like data analysis, probability, and statistical modeling. Data scientists often also need programming skills in languages such as Python or R and experience with data visualization tools and machine learning techniques.

What are statistics data scientists?

Statistics data scientists are professionals who apply statistical methods and data analysis techniques to extract insights from large and complex datasets. They combine expertise in mathematics, computer science, and domain knowledge to solve real-world problems, build predictive models, and inform decision-making processes. Their work often involves collecting, cleaning, and analyzing data, as well as communicating findings to stakeholders through reports and visualizations.

What are statistics and data science jobs?

Statistics and data science jobs involve analyzing data to extract insights, build models, and support decision-making. These roles often require skills in programming languages like Python or R, statistical methods, and data visualization tools. Professionals in these fields work in various industries such as finance, healthcare, and technology to solve complex problems using data-driven approaches.

How do Statistics Data Scientists typically collaborate with cross-functional teams to deliver impactful insights?

Statistics Data Scientists frequently work alongside professionals from engineering, product management, and business teams to define project goals and identify key metrics. Collaboration often includes translating complex statistical analyses into actionable business recommendations and clearly communicating findings to non-technical stakeholders. This role requires strong interpersonal skills, as well as the ability to adapt technical language for diverse audiences. Regular meetings, data review sessions, and shared project management tools are common parts of the workflow, ensuring that insights are aligned with organizational objectives.
What are popular job titles related to Statistics Data Science jobs in California? For Statistics Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Statistics Data Science jobs in California look for? The top searched job categories for Statistics Data Science jobs in California are:
What cities in California are hiring for Statistics Data Science jobs? Cities in California with the most Statistics Data Science job openings:
Statistics Data Science jobs near you
Infographic showing various Statistics Data Science job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $162,857 per year, or $78.3 per hour.
Associate Director, Data Science

Associate Director, Data Science

Allogene Therapeutics

South San Francisco, CA • On-site

$170K - $210K/yr

Full-time

Medical

Posted 5 days ago

Job description

Job Description
About Allogene:
Allogene Therapeutics, with headquarters in South San Francisco, is a clinical-stage biotechnology company pioneering the development of allogeneic chimeric antigen receptor T cell (AlloCAR T) products for cancer and autoimmune disease. Led by a management team with significant experience in cell therapy, Allogene is developing a pipeline of "off-the-shelf" CAR T cell product candidates with the goal of delivering readily available cell therapy on-demand, more reliably, and at greater scale to more patients.
About the role:
We are seeking a highly motivated Associate Director, Quality Data Science to work in this exciting new area of allogeneic cell therapy. In this role, you will report to the head of Validation and Quality Engineering, and you will be responsible for developing and leading the Quality Data Science/Quality Engineering function to embed the principles and practices of applied statistics, data science and machine learning to further Allogene's efforts in leading the establishment of an allogeneic CAR T platform, and to provide guidance and data driven insights across Allogene's programs. You will work closely with respective project teams to establish a quality data science roadmap to implement a lifecycle approach for product quality control strategies, including tools and technologies to drive innovation and continuous improvement. The position is based out of our headquarters in South San Francisco, CA.
Responsibilities include, but are not limited to:
  • Develop and execute strategy and roadmap to establish quality data science as a core capability for building allogeneic platform knowledge and establish data analytics to enable predict and prevent capabilities across GMP operations.
  • Provide direction and input to project teams utilizing the principles of applied science and statistics to drive strategies for process and analytical understanding and overall product quality control, including approaches for product comparability, process validation, product monitoring, stability trending and lifecycle management/improvement.
  • Contribute to the build out of the Allogene GMP Quality Management System by developing procedures and providing significant input and support to Product Quality Review and Management Review tools and practices.
  • Serve as company authority on quality data science and QE activities in support of regulatory submissions and inspections, including assuring inspection readiness.
  • Support root cause investigations and ensure data-driven decision making.
  • Champion the use of data analytics and operational excellence tools to drive process improvement and innovation across the Allogene enterprise.
  • Integral member of cross-functional teams to garner interdisciplinary insights (e.g. technical, clinical) to further accelerate Allogene's leading approach to the establishment of an "off-the-shelf" allogeneic CAR T platform.
  • Collaborate across functions and stakeholders to develop a Knowledge Management approach for Allogene.
  • Routinely scan external environment and engage in industry forums to proactively identify and implement best practices and new technologies.

Position Requirements & Experience:
  • BS/MS degree in Statistics, Data Science, or related field (advanced degree preferred), ASQ Quality Engineer certification preferred, with at least 6-8 years of relevant experience in the biotechnology or pharmaceutical industry.
  • Strong expertise in applied statistics (e.g., DoE, multivariate analysis, regression, time-series).
  • Hands-on experience with tools such as R, Python, JMP, SAS, or equivalent.
  • Experience working with complex data from laboratory, process, or manufacturing systems and ability to translate complex data insights into actionable business recommendations.
  • Familiarity with visualization tools.
  • Comprehensive knowledge of GMP regulations, guidance, and industry best practices.
  • Proven success influencing cross-functional teams and senior stakeholders without direct authority.
  • Comfortable in a fast-paced small company environment and able to adjust workload based upon changing priorities.
  • Candidates must be authorized to work in the U.S.

We offer a chance to work with talented people in a collaborative environment and provide a top-notch compensation and benefits package, which includes an annual performance bonus, equity, health insurance, generous time off (including 2 annual holiday company-wide shutdowns) and much more. The expected salary range for this role is $170,000 to $210,00 per year. Actual pay will be determined based on experience, qualifications, geographic location, business needs, and other job-related factors permitted by law.
As an equal opportunity employer, Allogene is committed to a diverse workforce. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state and local laws. We also embrace differences in experience and background, and welcome diversity of opinions and thought, designed to create a stronger and better Allogene that is focused on developing life-changing products for patients.
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