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Machine Learning Engineer
- Nashville, Tennessee, United States
- Nashville, Tennessee, United States
Über
Key Responsibilities
Design and implement data pipelines using SQL and Python from various data sources.
Synthesize large medical claims data records into usable 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.
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Sprachkenntnisse
- English
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