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Statistics Data Science Jobs in California (NOW HIRING)

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 ...

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 ...

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 ...

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

Staff Data Scientist

San Francisco, CA · Hybrid

$220K - $280K/yr

Masters or PhD Degree in Engineering, Computer Science, Statistics, Data Science or related degree. * Work Experience: 7+ years (or 5+ with PhD) of proven track record in Data Science, Machine ...

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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 10, 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:
Associate Fraud Strategy Data Scientist

Associate Fraud Strategy Data Scientist

Global Channel Management, Inc.

San Jose, CA

$69K - $69K/yr

Full-time

Posted 7 days ago


Job description

Associate Fraud Strategy Data Scientist needs 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse.

Associate Fraud Strategy Data Scientist requires:

Bachelors degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience.

Experience using statistics and data science to solve complex business problems.

Experience in SQL, Python, Excel including key data science libraries.

Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation.

Experience in data visualization including Tableau.

Experience working with large datasets.

Strong SQL proficiency

Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation

Proficiency in AWS Quicksight and Tableau

Data analytics and models

Rule development

Dashboard Creation

Project Management

Associate Fraud Strategy Data Scientist duties:

Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers.

Utilize data analysis to design and implement fraud strategies

Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers.

Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.

Development of dashboard and visualizations to track KPI of fraud strategies implemented


Global Channel Management logo

About Global Channel Management

Sourced by ZipRecruiter

Global Channel Management is a technology company that specializes in various types of recruiting and staff augmentation. Global Channel Management understands the challenges companies face when it comes to the skills and experience needed to fill the void of the day to day function. Organizations need to reduce training and labor costs but at the same time requiring the best talent for the job. GCM's Ownership and Management teams have extensive Staffing, Recruiting, HR and Executive Leadership knowledge, Experience and Expertise. Our Understanding and Commitment to our Client's Satisfaction are key reasons GCM has been successful in establishing long term relationships.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Austell, GA, US

Year founded

2009

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