Principal Data Scientist
Sacramento, CA · HybridFull-time$182–291K/yrPosted 3 days agoStill listed 2 days ago
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At a glance
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Job overview
The Principal Data Scientist serves as the singular technical authority for data science on Sutter Health’s applied AI team. The role addresses high-impact organizational problems through statistical analysis, predictive modeling, and generative AI, owning work from data acquisition through production deployment. It also sets technical direction, mentors data scientists, reviews key work, and contributes to AI governance and model monitoring.
Skills & qualifications
Skills
Qualifications
Full job description
We are so glad you are interested in joining Sutter Health!
Organization: SHSO-Sutter Health System Office-Valley Position Overview: The singular technical authority for data science within the center for applied artificial intelligence (AI) team. This role solves the organization's highest-impact problems primarily through advanced statistical analysis, exploratory data analysis, and predictive model development, supplemented by Large Language Models (LLMs) and other generative AI methods as needed. Engages directly with clinical, operational, and information systems (IS) stakeholders to understand the underlying problem, translates it into a technical solution, and owns the work end-to-end — from data acquisition and transformation through model development, validation, and production deployment. In parallel, the role sets technical direction and standards for the team, mentors fellow data scientists, serves as the principal technical reviewer for the team's most important work, and contributes to AI governance and model monitoring. Job Description: Please Note: While this position is listed as hybrid, regular in-office attendance is required. Candidates should be prepared to commute to the office on a regualr basis to support team collaboration and business needs.*
EDUCATION: Equivalent experience will be accepted in lieu of the required degree or diploma.
- Bachelor's degree in Statistics, Biostatistics, Computer Science, Mathematics, Data Science, Medical Informatics, or related field required.
TYPICAL EXPERIENCE:
- 10 years of recent relevant experience
SKILLS AND KNOWLEDGE:
- Progressive experience in computer science, applied statistics, or machine learning.
- Demonstrated track record of taking analytic work from stakeholder problem framing through to production deployment with measurable impact.
- Expert command of advanced statistical methods (regression, time series, survival analysis, causal inference, experimental design) and machine learning techniques (supervised, unsupervised, deep learning).
- Mastery of with Large Language Model (LLM) and generative AI techniques (evaluation, fine-tuning, retrieval-augmented generation, prompt engineering, agent development).
- Advanced knowledge of Python and Structured Query Language (SQL).
- Knowledge of Epic Electronic Health Record (EHR) data structures (Clarity, Caboodle) and clinical data standards (Health Level Seven [HL7], Fast Healthcare Interoperability Resources [FHIR]) preferred.
- Knowledge of applicable regulatory and risk frameworks (Health Insurance Portability and Accountability Act [HIPAA], Food and Drug Administration [FDA] Software as a Medical Device [SaMD] guidance, National Institute of Standards and Technology Artificial Intelligence Risk Management Framework [NIST AI RMF]) and with bias and fairness evaluation.
- Strong written and verbal communication; able to translate complex technical work for executive and clinical audiences.
- Demonstrated ability to mentor technical staff and influence without authority.
These Principal Accountabilities, Requirements and Qualifications are not exhaustive but are merely the most descriptive of the current job. Management reserves the right to revise the job description or require that other tasks be performed when the circumstances of the job change (for example, emergencies, staff changes, workload, or technical development).
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Job Shift: Days Schedule: Full Time Days of the Week: Monday - Friday Weekend Requirements: As Needed Benefits: Yes Unions: No Position Status: Exempt Weekly Hours: 40 Employee Status: Regular Sutter Health is an equal opportunity employer EOE/M/F/Disability/Veterans.
Pay Range is $181,896.00 to $291,033.60 / annual salary The posted pay range is based on the position's primary work location. Candidates who reside and work outside of that location may be subject to a different pay range based on their work location. Candidate starting salaries consider multiple factors, including, but not limited to a candidate’s experience, education, skills, licensure, certifications, departmental equity, training, and organizational needs. Base pay is only one component of Sutter Health’s comprehensive total rewards program. Eligible positions also include a comprehensive benefits package.
How this job compares
Set against the 5,198 open Data Scientist jobs on Olive Jobs, counted October 30, 2026.
- Pay
- This posting$182–291K/yr
- California median$155–240K/yr737 salary ranges
- US median$135–215K/yr4,128 salary ranges
This range's midpoint, $236K, is 18% above the California median midpoint ($200K) — in the top quarter of Data Scientist salary ranges in California.
- Openings
- Olive Jobs lists 874 open Data Scientist jobs in California and 5,198 across the US. 6% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 10 years of experience — more than three in four Data Scientist postings that state a minimum ask for (median 5 years, across 4,462 postings).
- Education
- 2,781 of the 5,198 open Data Scientist jobs (54%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 30, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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