Head of Data - Predict
United StatesFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- 5-7 years of experience in data science, machine learning engineering, or a related technical field. 2+ years of experience managing technical teams
- Required Skills
- PythonMachine LearningAirflowData engineeringData sciencePandasSparkdbtscikit-learnMLOps
Requirements
- 5-7 years of experience in data science, machine learning engineering, or a related technical field
- 2+ years of experience managing technical teams
- Expertise in healthcare data, particularly medical and pharmacy claims data
- Experience with EMR data is highly valued
- Strong foundation in machine learning techniques (e.g., gradient boosting, random forests, logistic regression, survival analysis)
- Proficiency in Python and the modern data science stack (pandas, scikit-learn)
- Experience building and maintaining production data pipelines using tools like Airflow, dbt, Spark, or similar
- Familiarity with ML ops practices—model deployment, monitoring, versioning, and lifecycle management
- Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders and represent the team in client-facing settings
Responsibilities
- Design, build, and refine machine learning models that identify members at high risk for costly MSK interventions using claims, EMR, and enriched external data
- Own the technical architecture for Predict's data pipelines, ensuring reliable ingestion, transformation, and delivery of healthcare data at scale
- Establish and maintain ML ops practices—model versioning, monitoring, retraining pipelines, and performance tracking
- Conduct rigorous analysis of algorithm performance, cost curve impact, and ROI delivered to clients
- Stay current on healthcare data standards, regulatory requirements, and industry best practices
- Manage, mentor, and grow a team of data scientists and data engineers
- Serve as Predict's technical subject matter expert in client meetings, sales cycles, and implementation discussions
- Work closely with product and engineering teams to align Predict's technical roadmap with platform strategy
- Collaborate with health economics to validate clinical and financial outcomes
- Partner with data access and integration teams to expand the data assets available for Predict models
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