Machine Learning Engineer

Position Overview: We are looking for a talented Machine Learning Engineer to help build and maintain machine learning pipelines that support predictive healthcare models. This role is ideal for someone with strong data engineering skills and a passion for applying machine learning to real-world healthcare challenges.

 

Key Responsibilities:

• Design and implement data pipelines using SQL and Python from various data sources.
• Synthesize large medical claims data records into useable data features.
• Collaborate with Data Scientists to build, refine, and deploy various machine learning models in Python.
• Learn and apply SAS as needed for dataset generation (prior experience is not required).
• Ensure data quality, reproducibility, and performance in the pipelines.
• Contribute to best practices for data governance and model deployment.

 

Qualifications:

• 2-5+ YOE as a Machine Learning Engineer or Data Scientist with a focus on engineering data builds.
• Proficiency in SQL/Snowflake and Python; willingness to learn SAS as needed.
• Experience building and combining data pipelines and working with large datasets.
• Basic understanding of healthcare claims data (e.g., Medicare claims) preferred.
• Familiarity with machine learning workflows (e.g., scikit-learn, pandas, NumPy).
• Strong problem-solving and communication skills, sharp critical thinking skills.
• Comfortable with a fast-paced workstream that requires flexibility to work on multiple projects or analyses at the same time.