The Data Scientist supports Central Health’s mission to improve access to quality care for Travis County residents living at or below 200% of the Federal Poverty Income Level. Working under the guidance of the Principal Data Scientist, this position will help shape and advance the organization’s data science and AI ecosystem, building scalable, ethical, and high-performing models on Central Health’s modern Azure–Snowflake data platform. The Data Scientist will collaborate closely with the Principal Data Scientist, Snowflake Engineer, Snowflake Architect, clinicians, operators and business teams to design, develop, and optimize a data platform that enables advanced analytics, predictive modeling, and AI applications across the enterprise.

Partner with the Principal Data Scientist to develop and implement data science and AI models that address clinical, operational, and population health challenges.
Collaborate with the Snowflake Engineer and Architect to ensure that the data environment is optimized for analytics, machine learning, and model deployment.
Design and execute experiments, model training, and validation pipelines using large-scale healthcare data from Epic (Clarity/Caboodle), public health datasets, and other internal/external sources.
Apply advanced statistical and machine learning techniques to identify patterns, forecast trends, and provide actionable insights that improve care delivery and health equity.
Collaborate with analytics, data engineering, and IT teams to ensure reproducibility, scalability, and compliance with data governance, security, and privacy standards (HIPAA, 42 CFR Part 2, etc.).
Contribute to the development of MLOps and AI governance practices to ensure responsible and transparent model lifecycle management.
Communicate analytical findings to technical and non-technical stakeholders through data storytelling, dashboards, and reports.
Mentor analysts and assist with data science literacy efforts across the organization.
Become a data subject matter expert (SME) and understand various sources and applications of Central Health data.
Performs other duties as assigned.

MINIMUM EDUCATION:

• Doctoral or professional degree in Data Science, Statistics,
  Computer Science, Mathematics, Engineering, or a related quantitative field

Work Experience:

• 3 years
  Applied experience in data science, statistical
  modeling, or machine learning (may include doctoral
  research).
  Required
  And
  1 year
  Experience working with large, complex healthcare
  datasets (EHR, claims, population health, or social
  determinants of health data).
  Required
  And
  2 years
  Demonstrated experience developing and deploying
  models in a cloud-based environment (Azure,
  Snowflake preferred).
  Required
  And
  3 years Strong proficiency in Python, SQL, and common ML
  libraries (scikit-learn, TensorFlow, PyTorch, etc.). Required And
  3 years Experience with Snowflake, Azure Machine Learning,
  Databricks, or similar modern data platforms. Required And
  Experience with Office 365 Suite - Outlook, Excel,
  Word Preferred