Lead the development of appraisal and pricing capabilities using data science to automate valuation decisions. Collaborate across teams for insights into pricing and operational strategies.
About the Role
Amplio is building the intelligence layer that powers how manufacturers recover value from surplus equipment. You’ll lead the development of our appraisal and pricing capabilities — combining data science with agentic AI to automate and improve valuation decisions at scale.
Key Responsibilities
- 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
What You Bring
- 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
Top Skills
Bayesian Modeling
Python
SQL
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