Senior AI Data Scientist - Generative & Healthcare Analytics

Baylor Scott & White Health; San Juan (PR); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Immediate health benefits eligibility

401(k) with match

Tuition Reimbursement

PTO accrual Day 1

Job summary

Baylor Scott & White Health is seeking a Senior Data Scientist, AI to advance our AI use cases across clinical and operational workflows. You will build predictive models, LLM-powered capabilities, and agent-based solutions, collaborating with product, engineering, and governance teams to deliver measurable outcomes.

The role emphasizes production-ready analytics, data fluency in healthcare, and Responsible AI practices while guiding uncertainty into deployed capabilities that improve patient

Qualifications

• Bachelor’s degree in Data Science, Statistics, Biostatistics, CS, Math, Engineering or related field.
• Master’s degree preferred; PhD for advanced modeling roles.

Responsibilities

• Translate AI use-case objectives into data science problem statements and plans.
• Develop predictive models and ML/AI methods tailored to healthcare workflows.
• Prototype, validate, and productionalize data science and AI solutions with engineering teams.
• Design evaluation frameworks, model monitoring, and governance-aligned outputs.
• Mentor peers and collaborate with cross-functional stakeholders.

Skills

Statistical modeling

Machine learning

Generative AI

Agentic AI

Data storytelling

Python

SQL

Education

Bachelor's degree in Data Science, Statistics, CS or related

Master’s degree preferred; PhD welcome for advanced modeling

Tools

Python

SQL

PyTorch / TensorFlow

Spark / Databricks

Snowflake

Job description

Baylor Scott & White Health is seeking a Senior Data Scientist, AI to advance our AI use cases across clinical and operational workflows. You will build predictive models, LLM-powered capabilities, and agent-based solutions, collaborating with product, engineering, and governance teams to deliver measurable outcomes.

The role emphasizes production-ready analytics, data fluency in healthcare, and Responsible AI practices while guiding uncertainty into deployed capabilities that improve patient