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Senior Ai Data Scientist Jobs (NOW HIRING)

Exelixis

Senior AI Data Scientist I

Alameda, CA · On-site

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 ...

Exelixis

Senior AI Data Scientist I

Alameda, CA · On-site

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 ...

Exelixis

Senior AI Data Scientist I

Alameda, CA · On-site

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 ...

Chaos Labs

Senior AI Data Scientist

The Role We're hiring a Senior Data Scientist, Applied AI to own the development and evaluation of machine learning systems that power our enterprise AI platform. This is a high-impact role with ...

T Rowe Price

Sr AI Data Scientist

Manhattan, NY · Hybrid

Rowe Price, Data Scientists build the analytics and AI that power better investment decisions. Position is available in our New York City office or at our brand-new AI Data Science squad at our new ...

Charles Schwab Inc.

Senior Data Scientist

Austin, TX · On-site

$155K - $200K/yr

Schwab's AI & Data Science organization helps shape the future of client and employee experiences through advanced analytics, machine learning, and generative AI. As a Senior AI & Data Scientist, you ...

Leidos

Senior Data Scientist

Reston, VA · On-site

Leidos is seeking a Senior AI/Data Scientist to drive advanced AI development for a strategic Defense Threat Reduction Agency (DTRA) contract, executed in direct partnership with the Defense ...

Leidos

Senior Data Scientist

Reston, VA · On-site

Leidos is seeking a Senior AI/Data Scientist to drive advanced AI development for a strategic Defense Threat Reduction Agency (DTRA) contract, executed in direct partnership with the Defense ...

Leidos

Senior Data Scientist

Reston, VA · On-site

Leidos is seeking a Senior AI/Data Scientist to drive advanced AI development for a strategic Defense Threat Reduction Agency (DTRA) contract, executed in direct partnership with the Defense ...

Leidos

Senior Data Scientist

Reston, VA · On-site

Leidos is seeking a Senior AI/Data Scientist to drive advanced AI development for a strategic Defense Threat Reduction Agency (DTRA) contract, executed in direct partnership with the Defense ...

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Senior Ai Data Scientist information

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$41.5K

$142.5K

$201K

How much do senior ai data scientist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for senior ai data scientist in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What does a senior AI data scientist do?

A Senior AI Data Scientist leads the development and implementation of advanced artificial intelligence and machine learning models to solve complex business problems. They analyze large datasets, design algorithms, and work closely with cross-functional teams to deliver actionable insights and deploy AI solutions. Additionally, they often mentor junior data scientists, ensure best practices in data science workflows, and stay updated on the latest advancements in AI technologies.

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

To thrive as a Senior AI Data Scientist, you need advanced expertise in machine learning, statistical analysis, and programming languages such as Python or R, typically supported by a graduate degree in a quantitative field. Familiarity with deep learning frameworks (like TensorFlow or PyTorch), cloud computing platforms, and experience with big data systems are highly valued, along with certifications in data science or AI. Strong problem-solving abilities, leadership, and communication skills help you translate complex technical insights into actionable business strategies and mentor junior team members. These competencies are essential for delivering impactful AI solutions that drive organizational value and innovation.

How does a senior AI data scientist typically collaborate with cross-functional teams on AI projects?

As a Senior AI Data Scientist, you will frequently work alongside engineers, product managers, and business stakeholders to translate business objectives into actionable AI solutions. You’ll be responsible for communicating complex technical concepts in accessible terms, ensuring alignment on project goals, and integrating feedback from multiple disciplines. Effective collaboration is key, as you’ll guide junior data scientists, contribute to model deployment with engineers, and help refine requirements with product teams to create impactful AI-driven products.

What is the difference between Senior Ai Data Scientist vs Data Analyst?

AspectSenior Ai Data ScientistData Analyst
Required CredentialsAdvanced degrees in AI, Data Science, or related fields; experience with machine learning and AI toolsBachelor's or Master's in Data Analysis, Statistics, or related fields; proficiency in data visualization and SQL
Work EnvironmentDevelops AI models, algorithms, and machine learning systems; often in R&D or AI-focused teamsAnalyzes data sets, generates reports, and supports decision-making processes
Employer & Industry UsageTech companies, AI startups, research institutionsBusiness, finance, marketing, healthcare sectors

In summary, a Senior Ai Data Scientist focuses on developing advanced AI models and algorithms, requiring specialized skills in machine learning and AI technologies. In contrast, a Data Analyst primarily interprets data, creates reports, and supports business decisions with less emphasis on AI development.

How much do senior AI Data Scientists make?

Senior AI Data Scientists typically earn between $100,000 and $150,000 annually, with salaries varying based on experience, location, and industry. They often have expertise in machine learning, deep learning, and data analysis tools, and may receive bonuses or stock options depending on the company.
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Senior Ai Data Scientist jobs near you
Infographic showing various Senior Ai Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Senior AI Data Scientist I

Exelixis

Alameda, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

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 candidate's geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidate'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.

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