Lead Data Scientist, Appraisal & Pricing
TLDR
Design valuation models and agentic AI workflows that automate appraisal and pricing for surplus equipment.
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
Benefits
Equity Compensation
Early-hire equity
Flexible Work Hours
Clear work-life boundaries
Health Insurance
Best Medical / Dental / Vision plans
Paid Parental Leave
Parental benefits
Paid Time Off
Flexible PTO
Wellness Stipend
Various stipends
Amplio builds an intelligence layer designed specifically for manufacturers to optimize and recover value from surplus equipment. Our platform provides the insights and tools that ensure manufacturers can effectively manage their excess assets and minimize waste. We're focused on enhancing operational efficiency and profitability in the manufacturing sector.