Senior AI Data Scientist: Generative & Healthcare Analytics

Baylor Scott & White Health; Phoenix (AZ); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

Health benefits

401k match

Tuition reimbursement

PTO starting day 1

Job summary

Baylor Scott & White Health seeks a Senior Data Scientist, AI to drive data science, ML, generative AI, and agent-based solutions for priority AI use cases and workflow-enabled products.

You will partner with AI Product Managers, Engineers, Ontology, Clinical, Operations, and Governance teams to translate business questions into rigorous AI-driven outcomes across patient care, operations, and enterprise performance.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Biostatistics, Computer Science, Mathematics, Engineering, Econometrics, Health Informatics, or related quantitative field.
• Master’s degree preferred; PhD preferred for candidates focused on advanced modeling, clinical AI evaluation, or complex machine learning methods.
• 5–8+ years of experience in data science, machine learning, advanced analytics, applied statistics, product analytics, health analytics, or a related quantitative role.

Responsibilities

• Translate AI use-case objectives into data science problem statements, modeling approaches, analytical plans, success metrics, and execution roadmaps.
• Develop predictive models, classification models, segmentation approaches, personalization methods, statistical analyses, causal inference approaches, optimization models, simulations, or other traditional data science methods, and combine with LLM- and agent-based approaches when appropriate.
• Partner with product, engineering, data engineering, ontology, clinical/operational stakeholders to ensure data science work aligns with real workflow needs and measurable outcomes.
• Rapidly prototype, validate, iterate, and productionalize data science, generative AI, and agentic methods in partnership with engineering and platform teams, delivering working capabilities into real user workflows.
• Build, evaluate, tune, and monitor data science and machine learning models using appropriate statistical, ML, and AI methods.
• Define model success criteria, comparison benchmarks, holdout strategies, validation methodologies, error analysis approaches, and ongoing monitoring expectations.
• Develop evaluation approaches for AI-enabled products, including performance measurement, quality thresholds, subgroup analysis, drift detection, fairness considerations, and operational impact tracking.

Skills

Statistics

Machine Learning

Generative AI

Agent engineering

Healthcare data fluency

Stakeholder collaboration

Education

Bachelor’s degree in Data Science or related field

Master’s degree preferred

PhD preferred for advanced modeling

Tools

Python

SQL

LLM tooling

MLOps tooling

Job description

Baylor Scott & White Health seeks a Senior Data Scientist, AI to drive data science, ML, generative AI, and agent-based solutions for priority AI use cases and workflow-enabled products.

You will partner with AI Product Managers, Engineers, Ontology, Clinical, Operations, and Governance teams to translate business questions into rigorous AI-driven outcomes across patient care, operations, and enterprise performance.