Senior Data Scientist designing and leading projects to enhance machine learning classifiers for cancer detection. Collaborating with cross - functional teams in a healthcare company focused on early cancer detection.
About the role
- Lead Data Scientist developing appraisal and pricing capabilities using data science for surplus equipment valuation. Drive automation through AI and collaborate across teams to optimize strategies.
Responsibilities
- Lead the development of appraisal and pricing capabilities.
- Design and iterate models that estimate fair market value, recovery potential, and optimal disposition strategy.
- Leverage agentic AI to automate cataloging and appraisal workflows.
- Support Sales to underwrite buyout offers and predict consignment recovery and capacity utilization.
- Build feedback loops for continuous price optimization and model refinement.
- Collaborate with Product and Ops to turn insights into high-impact pricing and sourcing actions.
Requirements
- 4–8+ years in data science, analytics, or preferably pricing within marketplaces, logistics, or asset-heavy environments.
- Strong modeling and experimentation skills (Python, SQL, Bayesian / probabilistic modeling).
- Comfort operating with limited data — capable of building and validating proxy-based models.
- Blend of technical depth and business intuition; fluent in assumptions, risk, and real-world tradeoffs.
- Curiosity for manufacturing, recommerce, and the circular economy.
Benefits
- Early-hire equity
- Best Medical / Dental / Vision plans
- Parental benefits
- Flexible PTO
- Various stipends
- Clear work-life boundaries
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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