Senior Data Scientist
Synapse Health
- Location
- Remote
- Workplace
- Remote
- Employment
- Full Time
- Salary
- —
Posted 1mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Own models end to end across vendor matching, order routing, or supply chain optimization
- Build components of the confidence thresholds and decision logic that push the team's work toward agentic AI
- Quantify the impact of your own work with real numbers
- Ship models end to end, from experimentation through production
- Apply the right technical approach to well-scoped problems
- Write clear technical documentation for your own work
- Participate in quarterly planning
- Stay flexible as the team's scope expands
Requirements
- Master's degree required in a quantitative field
- 4–7 years in data science
- Prior experience at an early-stage healthcare startup
- Hands-on expertise in claims data and other healthcare data
- Strong technical foundation in standard predictive ML
- Strong hands-on proficiency in Python and SQL
- Understand the full software development lifecycle
- Works fluently with GitHub
- Track record shipping ML models into production
- Able to write clear technical documentation for your own work
- Demonstrate effective verbal and written communication skills
- Demonstrate strong analytical and organizational skills
Preferred
- Hands-on experience in Reinforcement learning for sequencing decisions over time
- Hands-on experience in Operations research methods
- Hands-on experience in Causal inference
- Health economics or healthcare claims data experience
- Exposure to agentic AI tools or frameworks
Skills
- Python
- SQL
- GitHub
- Reinforcement learning
- Operations research
- Causal inference
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