Lead Data Scientist, Appraisal & Pricing
AmplioWorkableSan Francisco, California, United States
Posted 1 DecFound 20 OctSeen 1 hour ago
Fit
The keywords the posting names, against what your resume says.Add your resume to see which of its keywords you already have, and get a resume tailored to this posting. 10 a month, free.
The Posting
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
Facts
- Source
- Workable
- External id
- 7BB2A6BCC5
- Location
- San Francisco, CA, United States
- Remote
- Not stated
- Posted
- 1 Dec 2025
- First seen
- 20 Oct 2026, 16:45
- Last seen
- 1 Nov 2026, 04:39
- Status
- Not yet added
- Posting id
- e9a6193e-d8bd-54b3-b2af-8a41f256bce2