Principal Data Scientist

Sutter Health

. Serve as the singular technical authority for data science within the Center for Applied Artificial Intelligence team .

Posted 10/27/2026full-timeSacramento • California • United StatesLead💰 $181,896 - $291,034 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced statistical methods, machine learning techniques, and data transformation, with a strong ability to mentor and lead technical teams. Proficient in translating complex stakeholder problems into actionable technical solutions while ensuring compliance with relevant regulatory frameworks.

Highest-signal resume keywords

Advanced Statistical MethodsLarge Language Model (LLM) TechniquesPython ProgrammingPredictive Model DevelopmentMentoring Technical Staff

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisPredictive ModelingMachine LearningData TransformationRegression AnalysisTime Series AnalysisSurvival AnalysisCausal InferenceDeep Learning TechniquesExperimental Design

Soft Skills

Strong CommunicationMentoringInfluencing Without Authority

Tools & Technologies

PythonStructured Query Language (SQL)Epic Electronic Health Record (EHR)Health Level Seven (HL7)Fast Healthcare Interoperability Resources (FHIR)

Industry Keywords

AI GovernanceModel MonitoringHIPAA ComplianceFDA SaMD GuidanceNIST AI RMFBias EvaluationFairness Evaluation

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Serve as the singular technical authority for data science within the Center for Applied Artificial Intelligence team
Solve the organization's highest-impact problems through advanced statistical analysis, exploratory data analysis, predictive model development, LLMs, and generative AI methods
Engage with clinical, operational, and information systems stakeholders to understand underlying problems
Translate stakeholder problems into technical solutions and own work end-to-end
Acquire and transform data
Develop, validate, and deploy models to production
Set technical direction and standards for the team
Mentor fellow data scientists and technical staff
Serve as principal technical reviewer for the team's most important work
Contribute to AI governance and model monitoring

Requirements

What you’ll need

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
10 years of recent relevant experience
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, including regression, time series, survival analysis, causal inference, and experimental design
Expert command of supervised, unsupervised, and deep learning techniques
Mastery of Large Language Model (LLM) and generative AI techniques, including evaluation, fine-tuning, retrieval-augmented generation, prompt engineering, and 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, including HIPAA, FDA SaMD guidance, and NIST AI RMF, and 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

Benefits

Comp & perks

Comprehensive benefits package
Eligible positions include a comprehensive benefits package