ZipRecruiter

Log In

1

Delta 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 ... Basic knowledge of Databricks notebooks and Delta Lake concepts. * Basic familiarity with AWS cloud ...

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 ... Basic knowledge of Databricks notebooks and Delta Lake concepts. * Basic familiarity with AWS cloud ...

Exelixis Inc

Senior AI Data Scientist I

Alameda, CA · On-site

$143K - $203K/yr

SUMMARY / JOB PURPOSE The Senior AI Data Scientist I develops, trains and validates AI/ML models ... Basic knowledge of Databricks notebooks and Delta Lake concepts. * Basic familiarity with AWS cloud ...

Vytwo Technologies Inc.

Data Scientist - INDIA

Vytwo Technologies Inc. is seeking a highly skilled Data Scientist to join their team, focusing on ... Required : • Strong hands-on experience with Databricks (Delta Lake, MLflow, Job Orchestration ...

Albertsons

Principal Data Scientist

Pleasanton, CA · On-site

$200K - $250K/yr

Delta Lake * MLflow * Unity Catalog * Expert knowledge of model training, optimization, serving ... data science conferences and journals. * Proven track record translating advanced research into ...

Albertsons

Principal Data Scientist

Pleasanton, CA · On-site

Delta Lake * MLflow * Unity Catalog * Expert knowledge of model training, optimization, serving ... data science conferences and journals. * Proven track record translating advanced research into ...

Albertsons

Principal Data Scientist

Pleasanton, CA · On-site

Delta Lake * MLflow * Unity Catalog * Expert knowledge of model training, optimization, serving ... data science conferences and journals. * Proven track record translating advanced research into ...

previous page

Showing results 41-60

All JobsDelta Data Scientist Jobs

Delta Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do delta data scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for delta data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Delta Data Scientist?

A Delta Data Scientist is a professional who specializes in analyzing and interpreting data using the Databricks Delta Lake platform, focusing on big data analytics, data engineering, and machine learning. Their role typically involves designing and implementing data pipelines, performing advanced analytics, and creating predictive models to help organizations make data-driven decisions. They work closely with large-scale datasets, often in cloud environments, and leverage tools such as Apache Spark and Databricks for processing and analysis. Delta Data Scientists also ensure data quality, optimize performance, and collaborate with other data professionals to drive business insights.

What are the key skills and qualifications needed to thrive as a Delta Data Scientist?

To thrive as a Delta Data Scientist, you need strong analytical skills, proficiency in statistics, data modeling, and a solid foundation in programming languages like Python or R, often complemented by a degree in computer science, mathematics, or a related field. Experience with data visualization tools (e.g., Tableau), machine learning frameworks, and familiarity with cloud platforms such as AWS or Azure are typically expected. Excellent problem-solving abilities, effective communication, and collaboration skills enable you to translate data insights into actionable business solutions. These competencies are crucial for extracting value from complex data sets and driving data-driven decision-making within the organization.

How do Delta Data Scientists typically collaborate with other departments within the organization?

Delta Data Scientists frequently work cross-functionally with teams such as engineering, product management, and business operations. Collaboration often involves gathering requirements, validating data sources, and translating business goals into data-driven solutions. Regular meetings, project updates, and joint problem-solving sessions are common, ensuring that analytical insights are closely aligned with organizational objectives. This collaborative environment fosters both learning and innovation, as data scientists gain exposure to diverse perspectives and domain knowledge.

What is the difference between Delta Data Scientist vs Delta Data Analyst?

AspectDelta Data ScientistDelta Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often some programming experienceBachelor's in Data Analysis, Statistics, or related fields; basic data skills
Work EnvironmentDeveloping models, advanced analytics, machine learning tasksData cleaning, reporting, visualization
Employer & Industry UsageTech companies, finance, healthcare, using advanced analyticsRetail, marketing, business operations, focusing on reporting

Delta Data Scientists focus on building predictive models and advanced analytics, requiring stronger technical skills and often higher education. Delta Data Analysts primarily handle data reporting and visualization, with a focus on interpreting data for business decisions. Both roles are essential but differ in complexity and scope.

What are popular job titles related to Delta Data Scientist jobs?

For Delta Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Delta Data Scientist job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior AI Data Scientist I

Alameda, CA • On-site

Exelixis
Biotechnology Research and Development • 501 - 1,000 employees
Learn more about Exelixisexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 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.

Apply