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Role Description

As a Senior Data Science / ML Engineer, you will drive the full data pipeline - from ingesting raw client data in multiple formats to producing refined datasets and models used across the Anomaly product suite. You’ll collaborate closely with product managers, data scientists, and senior executives to clarify objectives and rapidly iterate through innovative analytics experiments, paving the way for impactful client solutions.

• Develop and maintain scalable data pipelines for diverse client datasets
• Collaborate cross-functionally to translate complex problems into data-driven solutions
• Design, implement, and optimize machine learning models for product integration
• Rapidly prototype and iterate on novel analytics approaches with a focus on real-world impact
• Participate in the end-to-end product development lifecycle, from conception through integration

Qualifications

• 5+ years in a dynamic, fast-paced team environment
• Strong computer science fundamentals
• Expert-level proficiency of SQL and Python
• Deep experience with data science and machine learning libraries and techniques in Python
• Familiarity with healthcare claim structures and coding systems (CPT, HCPCS, ICD-10)
• Experience on a data science team where iterative experimentation drives innovation

Requirements

• Ability to iterate quickly and seek feedback when confronted with ambiguous requirements
• A love of solving tricky technical and business problems with great teammates
• Capable of owning the analytics product development process end-to-end, from prototype to production

Nice to have

• Familiarity with PySpark and working in a Databricks environment
• Experience with EHR records, including structured data as well as unstructured clinical notes