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Statistics Data Science Jobs in California (NOW HIRING)

Scopely

Associate Data Scientist

Sunnyvale, CA · On-site +1

$174K - $202K/yr

Master's degree or foreign equivalent in Computer Science, Data Analytics Engineering, Data Science, Statistics, or related quantitative field (or foreign equivalent). 1 year of experience in the job ...

Genentech

Senior Data Scientist

South San Francisco, CA

$156K - $290K/yr

Provide statistical expertise and develop data science solutions to Pharma technical operations, including process development, analytical method development, commercial manufacturing and quality ...

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 ...

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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 Jul 31, 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.

Can I get a data science job with a statistics degree?

A statistics degree can provide a strong foundation for a data science role, as it covers essential skills like data analysis, probability, and statistical modeling. However, proficiency in programming languages such as Python or R, experience with data manipulation tools, and knowledge of machine learning are often required to qualify for data science positions.

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 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.

Is statistics and data science a good career?

Statistics and data science are considered strong career options due to high demand across industries such as technology, finance, and healthcare. These roles typically require skills in programming, data analysis, and machine learning, and often offer competitive salaries and growth opportunities.

Is AI replacing statisticians?

AI is transforming the role of statisticians by automating routine data analysis tasks and enabling more complex modeling. However, statisticians are still essential for designing experiments, interpreting results, and ensuring data quality, making their skills valuable alongside AI tools in data science and analytics environments.

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 July 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Senior Data Scientist

Genentech

South San Francisco, CA • On-site

Full-time

Re-posted 12 hours ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical

Job description

Job Summary:
Genentech is dedicated to delivering innovative data analytics solutions as part of their Pharma vision. As a Senior Data Scientist and Statistician, you will advance data science across Pharma Technical Operations, collaborating with various teams to design experiments, analyze data, and develop tools that enhance drug development.
Responsibilities:
• Provide statistical expertise and develop data science solutions to Pharma technical operations, including process development, analytical method development, commercial manufacturing and quality control for biologics.
• Partner with cross-functional teams to frame critical scientific and operational questions, translating business needs into analytical strategies.
• Design and oversee studies to generate high-quality data for robust statistical analysis.
• Apply advanced statistical methods, machine learning, and AI to interrogate complex datasets, driving actionable insights.
• Interpret results and clearly communicate findings, influencing strategic and operational decisions.
• Develop and maintain software tools, algorithms, and automated workflows for data integration, cleaning, and large-scale analysis across heterogeneous sources.
• Build and sustain strong collaborations with internal and external stakeholders.
• Design and deliver training in statistics and data science to upskill the organisation.
• Stay current with emerging methods, regulatory guidance, and industry trends in statistics, data science, and drug development.
• Mentor junior colleagues, guiding them in study design, statistical analysis, coding best practices, and modern data science approaches, building a collaborative and supportive learning environment.
Qualifications:
Required:
• Master's or Ph.D. in Statistics, Biostatistics, data science, and relevant fields.
• Extensive experience in designing experiments (DOE), analyzing complex datasets, combined with a deep understanding of pharmaceutical technical development, particularly biologics.
• Advanced proficiency in statistical methods and software (e.g., R, JMP), with a proven ability to lead DOE for process characterisation, optimisation, and validation.
• Strong familiarity with regulatory guidelines (FDA, EMA).
• Excellent collaborative skills for working in multidisciplinary teams.
• Outstanding communication skills for reporting and stakeholder liaison.
• Strong analytical and problem-solving skills.
• Ability to manage multiple projects.
• High attention to detail to ensure accuracy and reliability.
• Self-motivated, able to work independently and coaching junior colleagues in teams.
• Keen on staying updated with new developments in statistics and data science.
• Passionate about continuous improvement and learning.
Company:
Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines. Founded in 1976, the company is headquartered in South San Francisco, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Genentech employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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