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Data Science Analytics Jobs in California (NOW HIRING)

Five9

Vice President, Data Science

San Ramon, CA · On-site

Applied Data Science & Analytics * Strong proficiency in statistical analysis, A/B experimentation ... causal inference, and performance measurement. * Demonstrated success turning data insights into ...

Apple

App Store Data Scientist

Cupertino, CA · On-site

Minimum Qualifications 5+ years of professional experience in data science, machine learning, or digital product analytics Mastery in SQL-based languages, and proficiency large-scale data languages ...

Roblox

Principal Data Scientist - Safety

San Mateo, CA · On-site

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 ...

Find Data Science

Data Scientist

San Francisco, CA

Conduct experiments and statistical analysis to evaluate the effectiveness of business strategies. * Stay updated on industry trends and best practices regarding data science methodologies and ...

New

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 ...

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Showing results 21-40

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 Aug 7, 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?

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 August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $112,382 per year, or $54 per hour.

Data Scientist with Security Clearance

22nd Century Technologies, Inc.

San Diego, CA • On-site

Other

Posted 13 days ago

Job description

Data Scientist II Required:
• Master’s degree in data science, Analytics, Computer Science
• Minimum 5 years of experience developing, analyzing, or deploying data-driven solutions • Experience with data analysis, visualization, or decision support tools
• Experience with Python or similar programming languages • Experience using version control systems (e.g., Git) • Minimum 5+ years’ experience with machine learning or AI enabled systems. Desired:
• Experience with natural language processing or large language models • Experience deploying applications in operational environments (afloat/ashore) • Experience with containerized environments (e.g., Docker, Kubernetes, OpenShift) • Experience supporting cybersecurity considerations in software development • Experience working with DOW or NAVAIR program office Security Clearance: Top Secret/SCI Clearance

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