Lead Data Scientist, Appraisal & Pricing
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Before you apply
SalaryNo pay range posted
LocationNew York, New York, United States
SeniorityLead
Experience4+ yrs
EquityIncluded
Company size1+ people
PostedDec 1, 2025 · 11mo ago
Verified live6h ago
May no longer be actively hiring
Posted by the company on Dec 1, 2025No pay range listed, though New York requires one
At a glanceSummarised by Seekless from the posting.
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
Skills
Python
SQL
Benefits
Health insurance
Dental insurance
Vision insurance
PTO
Equity
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
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Design and iterate models that estimate fair market value, recovery potential, and optimal disposition strategy.
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Leverage agentic AI to automate cataloging and appraisal workflows.
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Support Sales to underwrite buyout offers and predict consignment recovery and capacity utilization.
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Build feedback loops for continuous price optimization and model refinement.
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Collaborate with Product and Ops to turn insights into high-impact pricing and sourcing actions.
Requirements
What You Bring
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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
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Parental benefits
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Flexible PTO
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Various stipends
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Clear work-life boundaries