Data Scientist III

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Requirements:

• Four (4) plus years of experience working with large disparate data sets, using quantitative and qualitative analysis to derive business insights and leverage ML.
• Healthcare data experience is required. EMR (Epic, Cerner) or EDI (claim and remittance) is strongly preferred.
• Python and SQL experience required. R experience is a plus.
• Experience with feature engineering and creation is required.
• Experience with supervised ML is required, including tree-based ML (Random Forest, GBM, XGBoost, etc.).
• Experience with unsupervised ML and encoding is strongly preferred (clustering, Transformers, LSTM, etc.).
• Strong communication skills, both oral and written.
• Must be a team player and willing to collaborate and assist members of the team.
• An advanced degree (MS or higher) in applied data science, statistics, economics, computer science, or a related field is preferred.
• AWS Cloud experience is a plus.
• Snowflake experience is a plus.

Responsibilities:

• Act as a key contributor to the development of Sift’s current RevCollect Denials Prioritization ML products and pipelines.
• Operationalize ML for client launches.
• Develop ML pipelines for new product features.
• Enhance ML through attribute ideation and creation.
• Investigate and manipulate large datasets to uncover and resolve issues.
• Contribute to Sift’s ML Ops initiatives.
• Work and communicate effectively across teams.