Enterprise Data Scientist

University of California, San Francisco; San Francisco (CA); On-site; USD 143,000 - 200,000; Full time

Job summary

Join a leading university's effort to transform operations through data science as an Enterprise Data Scientist. In this pivotal role, you will leverage your expertise in AI and data analytics to drive strategic insights across various domains including HR, finance, and research. Collaborating with diverse stakeholders, you will ensure data-driven decision-making that supports UCSF's mission of advancing healthcare and education.

Qualifications

• 4+ years of experience with large datasets and statistical modeling.
• Strong programming skills in Python, R, SQL, or similar tools.
• Experience with AI tools and enterprise analytics platforms.

Responsibilities

• Apply advanced data science techniques to transform enterprise operations.
• Analyze large datasets from various enterprise systems.
• Collaborate with stakeholders to develop predictive models.

Skills

Data analytics

Machine learning

Programming

Statistical modeling

AI frameworks

Communication

Education

Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field

Master’s degree in computer science or related area

Tools

Python

R

SQL

Tableau

Power BI

Job description

Join to apply for the Enterprise Data Scientist role at University of California, San Francisco

Join to apply for the Enterprise Data Scientist role at University of California, San Francisco

Job Summary

The Enterprise Data Scientist applies advanced data science techniques, with a specific emphasis on AI-driven and generative AI solutions, to transform enterprise operations across UCSF. This role involves analyzing large and complex datasets from diverse enterprise systems—including HR, finance, supply chain, research, and administrative domains—to drive strategic insights, improve operational efficiency, and support institutional decision-making.

F_IT EIA Platform

Full Time

85304BR

Job Summary

The Enterprise Data Scientist applies advanced data science techniques, with a specific emphasis on AI-driven and generative AI solutions, to transform enterprise operations across UCSF. This role involves analyzing large and complex datasets from diverse enterprise systems—including HR, finance, supply chain, research, and administrative domains—to drive strategic insights, improve operational efficiency, and support institutional decision-making.

The Enterprise Data Scientist collaborates with business, clinical, and technical stakeholders to identify key performance indicators, develop predictive models, AI tools, and LLM-powered solutions, and implement data-driven strategies that align with UCSF’s mission. This includes developing, validating, and deploying machine learning models and generative AI analytics while ensuring data governance, reliability, and compliance with security best practices.

The role requires expertise in deploying and operationalizing Large Language Models and integrating generative AI into enterprise workflows. Candidates should have experience working with statistical techniques, AI frameworks (e.g., OpenAI API, LangChain, vector databases), and developing predictive models into complex operational environments. The ideal candidate will have strong programming skills (Python, R, SQL, JavaScript, etc.), be familiar with programming with APIs, and possess experience with business intelligence tools (Tableau, Power BI) and enterprise data platforms such as ERP and financial reporting systems. Effective communication skills are essential, as the Enterprise Data Scientist must translate complex technical analyses into actionable insights for both technical and non-technical stakeholders.

The final salary and offer components are subject to additional approvals based on UC policy.

Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.

The salary range for this position is $143,900 - $200,000 (Annual Rate).

To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

Department Description

The Enterprise Information and Analytics (EIA) department at UCSF plays a critical role in advancing the institution’s mission by enhancing access to and the use of data, analytics, and artificial intelligence. As part of UCSF’s Information Technology department, EIA is responsible for organizing, integrating, governing, and transforming UCSF’s data assets to support informed decision-making across the university’s clinical, research, education, and administrative domains.

EIA serves as the strategic link between UCSF’s clinicians, researchers, educators, and administrators and the technical resources needed to deliver impactful data solutions. By translating complex data into meaningful insights, EIA enables informed decision-making, fosters innovation, and drives positive change across the institution.

EIA also manages and supports UCSF’s Versa AI platform, a cutting-edge generative AI solution that enhances access to knowledge, streamlines workflows, and improves efficiency across UCSF’s mission areas. By integrating artificial intelligence, data governance, and advanced analytics, EIA empowers UCSF to care, heal, teach, and discover in an increasingly data-driven world.

Required Qualifications

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, or a related field / or equivalent experience/training
• 4+ years of experience in positions working with large datasets and conducting statistical and quantitative modeling, including programming, data mining, clustering, and segmentation.
• Expertise in data analytics, documentation, and reporting, including the ability to apply metrics, design and run queries, collect and analyze performance data, and produce sophisticated reports and analyses for enterprise decision-making.
• Ability to serve as a technical leader and advisor, collaborating with senior staff and management across departments to provide insights on policy, functionality, system efficiency, upgrades, business analytics, and industry trends.
• Strong interest in working with administrative, HR, finance, research, and education data, and understanding the challenges that face complex organizations and data-driven decision-making processes.
• Broadly encompassing and highly in-depth knowledge of machine learning and the deployment of predictive analytics in operational environments. Knowledge of data workflows, user interface optimization, decision support, rules development, data integration and mining, ontologies, and adoption of technology.
• Strong data and statistical programming skills, including proficiency in Python, R, SQL, or other tools used for data manipulation, modeling, and visualization, along with experience working with data warehouses and enterprise analytics platforms.
• Highly organized with the ability to prioritize tasks and lead projects from inception to completion on schedule.
• Advanced interpersonal communication skills, with the ability to convey highly technical information to diverse stakeholders, provide technical support, and develop and deliver training materials.
• Ability to apply advanced problem-solving and analytical skills to complex issues, quickly diagnose challenges, and develop, test, and implement effective solutions in a timely manner.
  
  

Preferred Qualifications

• Master’s degree or doctorate in computer science or related area.
• Prior experience with enterprise resource planning (ERP) data, HR, financial, research, or education-related analytics systems.
  
  

About UCSF

The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world’s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.

Pride Values

UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence – also known as our PRIDE values.

In addition to our PRIDE values, UCSF is committed to equity – both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at diversity.ucsf.edu

Join us to find a rewarding career contributing to improving healthcare worldwide.

Equal Employment Opportunity

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

Organization

Campus

Job Code and Payroll Title

000599 DATA SYS ANL 4

Job Category

Clinical Systems / IT Professionals

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Employee Class

Career

Percentage

100%

Location

San Francisco, CA

Campus

Mission Center Building (SF)

Work Style

Fully On-Site

Shift

Days

Shift Length

8 Hours

Additional Shift Details

Mon-Fri 8-5

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Higher Education

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