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Ai Data Science Jobs in California (NOW HIRING)

AI Data Scientist

San Francisco, CA ยท On-site

$180 - $310/hr

A clear perspective on how agentic coding is transforming the data science role, and genuine excitement about applying AI to your own work (Nice to have) Compensation range The base salary for this ...

AI Data Scientist-Furman lab

Novato, CA ยท On-site

$60K - $75K/yr

The ideal candidate will be comfortable working at the intersection of AI, software engineering, data science, and biomedical research, and will bring the creativity needed to design new approaches ...

AI Data Engineer

Cupertino, CA ยท On-site

$141K - $169K/yr

The Applied Data Science team within Legal Operations is building production-grade AI for a global legal organization - and every AI system is only as good as the data flowing into it. The AI Data ...

AI Data Engineer

Cupertino, CA ยท On-site

$141K - $169K/yr

The Applied Data Science team within Legal Operations is building production-grade AI for a global legal organization - and every AI system is only as good as the data flowing into it. The AI Data ...

The Applied Data Science team within Legal Operations is building production-grade AI for a global legal organization - and every AI system is only as good as the data flowing into it. The AI Data ...

C3 AI As a member of the C3 AI Data Science team , you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the ...

... AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Data Science ...

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Ai Data Science information

See California salary details

$37K

$121.1K

$193.9K

How much do ai data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for ai data science in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

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

AspectAi Data ScienceData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fields; knowledge of AI, machine learning, programmingDegree in Statistics, Mathematics, or related fields; proficiency in data visualization and analysis tools
Work EnvironmentTech companies, AI-focused firms, research labs; often involves programming and model developmentBusiness environments, consulting firms; focuses on data interpretation and reporting
Employer & Industry UsageUsed in AI development, predictive modeling, automation projectsUsed in business intelligence, reporting, and data-driven decision making

Ai Data Science and Data Analyst roles share overlapping skills like data handling and analysis, but Ai Data Science emphasizes AI and machine learning model development, while Data Analysts focus on interpreting data for business insights. Both roles are vital in data-driven industries but serve different functions within organizations.

What are the key skills and qualifications needed to thrive as an AI data scientist?

To thrive as an AI Data Scientist, you need strong skills in statistics, machine learning, programming (often Python or R), and a relevant degree in data science, computer science, or a related field. Familiarity with tools like TensorFlow, PyTorch, SQL, and cloud platforms, as well as certifications in data science or AI, are often expected. Critical thinking, curiosity, and effective communication are vital for interpreting complex data and collaborating with cross-functional teams. These skills and qualities enable the development of impactful AI solutions, accurate data-driven insights, and successful project delivery.

What is AI data science?

AI Data Science is a multidisciplinary field that combines artificial intelligence (AI), statistics, and computer science to extract meaningful insights from large and complex datasets. Professionals in this field use machine learning algorithms, data analysis techniques, and domain knowledge to solve real-world problems, build predictive models, and automate decision-making processes. AI Data Scientists often work with big data, develop and train AI models, and interpret results to help organizations make data-driven decisions.

How do AI data scientists typically collaborate with cross-functional teams during a project?

AI Data Scientists frequently work alongside software engineers, data engineers, product managers, and domain experts to develop and implement machine learning solutions. They are often responsible for translating business objectives into data-driven models, communicating technical findings in accessible terms, and iterating on models based on feedback from stakeholders. This collaborative environment requires strong communication skills and flexibility, as project requirements and data sources may evolve throughout the development cycle.

What job categories do people searching Ai Data Science jobs in California look for?

The top searched job categories for Ai Data Science jobs in California are:

What cities in California are hiring for Ai Data Science jobs?

Cities in California with the most Ai Data Science job openings:

Infographic showing various Ai Data Science 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 $121,131 per year, or $58.2 per hour.

AI Data Scientist

gamma.app

San Francisco, CA โ€ข On-site

$180 - $310/hr

Other

Posted 10 days ago


Job description

About the role

You'll be Gamma's first Data Scientist, turning massive volumes of user data and AI outputs into insights that shape how millions of people create content. With over 1โ€ฏmillion AIโ€‘generated presentations and 5โ€ฏmillion AI images created daily, the signal is enormous. Your job is to find the patterns, measure what matters, and help us ship better features faster.

You'll design A/B tests that measure product impact, build frameworks that reveal how our AI models perform across user segments, and investigate the hard questions: what makes a good AIโ€‘generated presentation, and why does a feature land differently for enterprise versus consumer users? You'll partner closely with product, engineering, and design to define quality metrics, uncover edge cases, and guide decisions with data. This is an IC role for someone eager to be handsโ€‘on, but it can grow into a leadership position establishing the Data function at Gamma.

You'll thrive here if you're curious, comfortable with ambiguity, and excited to figure out what questions to ask rather than just answering the ones given to you.

Our team has a strong inโ€‘office culture and works in person 4โ€“5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.

What youโ€™ll do
  • Build frameworks that help the team understand AI model performance, user behavior, and product health across Gammaโ€™s platform
  • Dig into AI model outputs across user cohorts to identify quality gaps and create evals and metrics to measure improvement
  • Partner with engineering and product to define quality metrics for AIโ€‘generated content and user satisfaction
  • Develop statistical models and frameworks that empower product teams to make dataโ€‘informed decisions independently
  • Design and analyze largeโ€‘scale A/B tests and experiments with statistical rigor to measure product impact and guide prioritization
What youโ€™ll bring
  • 8+ years of experience as a data scientist at productโ€‘focused tech companies, with experience managing or mentoring other data scientists
  • Strong statistical foundations with handsโ€‘on experience designing and analyzing A/B tests and experiments at scale
  • Experience working with largeโ€‘scale data and building metrics frameworks from scratch, including modern data stack tools like dbt and Snowflake and comfort analyzing unstructured or text data
  • Experience working with AI/ML products, especially LLMs or generative AI, with familiarity evaluating model performance in production settings
  • Ability to communicate complex technical concepts to nonโ€‘technical stakeholders and influence product decisions with clarity and conviction
  • A clear perspective on how agentic coding is transforming the data science role, and genuine excitement about applying AI to your own work (Nice to have)
Compensation range

The base salary for this fullโ€‘time position, which spans multiple internal levels depending on qualifications, ranges between $180K โ€“ $310K plus benefits & equity.

Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above.

If youโ€™re interested in this role but you donโ€™t meet every requirement, we encourage you to apply anyway! Weโ€™re always excited about meeting great people.

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