Senior Data Scientist
Lead AI/ML model development and deployment for clinical workflows, patient targeting, and intervention optimization. Build Python data pipelines, supervise junior data scientists, and publish research. Requires a Master's degree and 1+ year of relevant experience.
Key Responsibilities
- Lead development and deployment of AI/ML models in clinical workflows for healthcare decision-making, patient targeting, and clinical intervention optimization.
- Design machine learning prediction models and LLM-based tools including multi-agent scheduling systems.
- Create technical documentation, system architecture, and project specifications.
- Collaborate cross-functionally with product, engineering, and care teams to define goals and timelines.
- Build and optimize Python-based data pipelines for claims data and CRM systems.
- Conduct research on healthcare data structures and predictive modeling techniques for publication in peer-reviewed journals.
- Manage multiple projects independently and supervise junior data scientists, providing technical leadership and mentorship.
Minimum Qualifications
- Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a closely related quantitative field and one (1) year of experience in a data science or machine learning role.
- Programming in Python for data processing and machine learning development, using pandas, NumPy, and scikit-learn.
- Writing SQL queries to extract, transform, and analyze data from relational or structured datasets.
- Working with tabular or event-driven datasets, including data cleaning, normalization, and schema alignment.
- Implementing automated data processing and model training pipelines, including feature engineering and data transformation.
- Developing and evaluating machine learning models using performance metrics and validation techniques.
- Supporting transition of machine learning models from development to production, including packaging, automation, or model versioning.
- Using Git for version control in a collaborative development environment.
Benefits
- Stock Options
- Work-from-Home Stipend
- Medical, Vision, and Dental Coverage
- Life Insurance
- 20 vacation days + 11 paid holidays
- 16 weeks paid parental leave (birthing parents); 8 weeks bonding leave (non-birthing parents)
- 401(k) with company contribution
- Commuter Benefits
- Professional Development Stipend
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