Senior AI Data Scientist - Generative & Production Lead

Baylor Scott & White Health; City of Albany (NY); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Tuition Reimbursement

PTO accrual

Job summary

Baylor Scott & White Health seeks a Senior Data Scientist, AI to drive data science, ML, and generative AI initiatives across priority use cases and workflows in healthcare. You will design predictive models, evaluate AI solutions, and collaborate with AI product managers, engineers, clinical teams, and governance stakeholders to deliver real-world impact.

The role emphasizes hands-on coding, model evaluation, and production-ready AI capabilities that improve patient outcomes, operational

Qualifications

• 5–8+ years of data science, ML, or analytics experience.
• Experience building models and evaluation assets for AI-enabled products.
• Hands-on with generative AI, LLMs, and agent-based systems.
• Strong collaboration with cross-functional teams.

Responsibilities

• Translate AI use-case objectives into data science problem statements, models, and evaluation plans.
• Prototype, validate, and productionalize AI methods with engineering and platform teams.
• Develop and deploy LLM-powered applications and agentic workflows across analytics and healthcare workflows.
• Ensure modeling outputs are interpretable, well-documented, and compliant with risk and governance needs.

Skills

Generative AI

LLM/Agent AI

Data Modeling

Python

SQL

Education

Bachelor's degree in Data Science or related field

Master's degree preferred

Tools

PyTorch

TensorFlow

Spark

Databricks

Snowflake

Job description

Baylor Scott & White Health seeks a Senior Data Scientist, AI to drive data science, ML, and generative AI initiatives across priority use cases and workflows in healthcare. You will design predictive models, evaluate AI solutions, and collaborate with AI product managers, engineers, clinical teams, and governance stakeholders to deliver real-world impact.

The role emphasizes hands-on coding, model evaluation, and production-ready AI capabilities that improve patient outcomes, operational