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Ai Data Science Jobs in California (NOW HIRING)

Senior AI Data Scientist I

Alameda, CA ยท On-site

$143.50 - $203/hr

This position exists to advance the organization's AI/ML and data science capabilities across clinical development - collaborating with Statistical Programming, Clinical Data Management, and Clinical ...

Hi, Title: AI Data Scientist This is an onsite role in San Jose, CA. Locals Only Technical Requirement: Candidates must have extensive hands-on experience with Lang Graph & Langchain. During the ...

This position exists to advance the organization's AI/ML and data science capabilities across clinical development - collaborating with Statistical Programming, Clinical Data Management, and Clinical ...

This position exists to advance the organization's AI/ML and data science capabilities across clinical development - collaborating with Statistical Programming, Clinical Data Management, and Clinical ...

Senior AI Data Scientist I

Alameda, CA ยท On-site

$143.50 - $203/hr

The position exists to advance the organization's AI/ML and data science capabilities across clinical development - collaborating with Statistical Programming, Clinical Data Management, and Clinical ...

Data Science and Data Engineering Job Qualifications: Skills: AI Systems, Big Data, Datasets Certifications: None Experience: 2 + years of related experience US Citizenship Required: Yes Own your ...

Senior AI Data Science Engineer

Sunnyvale, CA ยท On-site

$124K - $169K/yr

The Senior AI/Data Science Engineer will advance the data strategy and engineering that turns surgical data into curated, research-ready datasets for AI/ML teams building intelligent surgical systems.

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 ...

Senior AI Data Science Engineer

Sunnyvale, CA ยท On-site

$124K - $169K/yr

The Senior AI/Data Science Engineer will advance the data strategy and engineering that turns surgical data into curated, research-ready datasets for AI/ML teams building intelligent surgical systems.

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 ...

The AI Product's Data Science org is at the center of the next generation of products at Figma, spanning Make, Figma Agent, Design Systems, and other areas. Data is critical to setting strategy and ...

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 ...

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Showing results 1-20

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 9, 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.

Senior AI Data Scientist I

Exelixis, Inc.

Alameda, CA โ€ข On-site

$143.50 - $203/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

## Senior AI Data Scientist IApplylocations: Alameda, CAtime type: Full timeposted on: Posted Todayjob requisition id: JR6959**SUMMARY/JOB PURPOSE** The Senior AI Data Scientist I develops, trains and validates AI/ML models and analytics solutions that transform complex clinical datasets into analysis-ready deliverables supporting drug-development decisions. Leveraging statistical programming (R, Python, SQL) and machine-learning techniques, this role executes automated workflows, data quality assurance, and regulatory-compliant outputs within a GxP-governed clinical data pipeline. This position exists to advance the organization's AI/ML and data science capabilities across clinical development - collaborating with Statistical Programming, Clinical Data Management, and Clinical Operations to accelerate data-driven insights, improve data infrastructure, and ensure the accuracy and reproducibility of analytical outputs that inform study-level and portfolio-level decisions. **ESSENTIAL DUTIES/RESPONSIBILITIES*** Build, train and validate machine-learning models (supervised and unsupervised) on clinical datasets under the direction of senior data scientists, ensuring model performance meets predefined acceptance criteria.* Execute data cleaning, transformation, and standardization tasks across clinical datasets from EDC, vendor and real-world data sources, aligning outputs with CDISC (SDTM/ADaM) standards.* Develop and maintain LLM-based and generative AI-workflows for automated TLF review and ad-hoc analytical queries, applying human-in-the-loop validation to ensure output reliability.* Create interactive dashboards and visualizations that support clinical data review, study-health monitoring, and decision-making across cross-functional stakeholders.* Execute data validation checks and quality-assurance procedures to ensure accuracy, reproducibility and compliance of analytical outputs with GxP requirements.* Support the development and maintenance of data pipelines on Databricks and AWS cloud infrastructure, applying version control (Git/GitHub) and CI/CD best practices.* Collaborate with Statistical Programming, Clinical Data Management, and Clinical Operations to deliver AI/ML project milestones and address study-level data needs.* Prepare and maintain documentation of model development, data transformation, and validation activities consistent with SOPs and work instructions.* Drive external scientific visibility and publication objectives by contributing to manuscripts, conference presentations and white papers that showcase clinical AI/data science innovations.* Pursue continuous professional development in emerging AI/ML techniques, cloud-based data platforms, and clinical data science methodologies to advance team capabilities.* Performs other duties as assigned* Complies with all policies and standards**SUPERVISORY RESPONSIBILITIES*** None**EDUCATION/EXPERIENCE/KNOWLEDGE/SKILLS & ABILITIES** **Education*** Bachelor's degree in Data Science, Computer Science, Statistics, Biostatistics, Bioinformatics, or a related quantitative field and a minimum of 7 years of experience; or,* Master's degree in Data Science, Computer Science, Statistics, Biostatistics, Bioinformatics, or a related quantitative field and a minimum of 5 years of experience; or,* Equivalent combination of education and experience.**Experience*** With PhD: No prior experience applying AI/ML methods to structured or unstructured data.* With Master's degree: A minimum of one (1) year of experience applying AI/ML methods to structured or unstructured data.* With Bachelor's degree: A minimum of three (3) years of experience applying AI/ML methods to structured or unstructured data.* Without degree: A minimum of seven (7) years of relevant professional experience, including demonstrated application of AI/ML methods to structured or unstructured data.**Knowledge, Skills and Abilities** **Required:*** Intermediate proficiency in Python (Pandas, NumPy, scikit-learn) for data manipulation and model prototyping.* Intermediate proficiency in R for statistical analysis and visualization.* Basic proficiency in SQL for data querying and transformation.* Intermediate understanding of supervised and unsupervised learning fundamentals, including model evaluation.* Basic familiarity with NLP, text mining and/or time series analysis techniques.* Basic familiarity with LLM APIs and prompt engineering concepts.* Basic knowledge of Databricks notebooks and Delta Lake concepts.* Basic familiarity with AWS cloud services (S3, Lambda, Glue).* Basic understanding of data pipeline concepts and data integration fundamentals.* Intermediate proficiency with version control (Git/GitHub) and project tracking tools (Jira).* Intermediate proficiency with BI platforms including Spotfire, Tableau and/or Power BI.* Basic understanding of the clinical development process and regulatory requirements (ICH, GxP).* Basic familiarity with CDISC data standards (SDTM, ADaM) concepts.* Ability to communicate technical concepts clearly to diverse audiences.* Strong collaboration and teamwork skills in a cross-functional environment.* Attention to detail and organizational skills. #LI-JP1### ### Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The base pay range for this position is $143,500 - $203,000 annually. The base pay range may take into account the candidateโ€™s geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidateโ€™s geographic region, job-related knowledge, skills, experience and internal equity, among other factors.In addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year.### If you have a disability and need an accommodation in relation to the application and/or recruitment process, please email us at: ***recruiting@exelixis.com******.*** **WORKING CONDITIONS:**Our office is a modern space that fosters collaboration and creativity. Teams work closely together, sharing ideas and solutions in a supportive atmosphere. We provide all necessary equipment, including dual monitors and ergonomic chairs, to ensure a comfortable workspace. **DISCLAIMER:** The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. ***We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.*** #J-18808-Ljbffr