Home › Companies › Amplio › Lead Data Scientist, Appraisal & Pricing
Lead Data Scientist, Appraisal & Pricing
Amplio · San Francisco, United States (Hybrid) · Hybrid · Active · Workable
Job facts
| Field | Value |
|---|---|
| Company | Amplio |
| Title | Lead Data Scientist, Appraisal & Pricing |
| Normalized title | - |
| Department / team | Other |
| Location | San Francisco, United States |
| Work model | Hybrid / Hybrid |
| Employment type | - |
| Salary | - |
| Status | active |
| ATS provider | Workable |
| Posted / first seen | 2025-12-01 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-21 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Amplio. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Workable. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in San Francisco. | Open |
| Department jobs | Active postings in Other. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Amplio |
| Source | 48198300-df5c-4e2b-b5d0-832ff9edf7f9 |
| ATS provider | Workable |
Description
Description
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
Full job record
| Job ID | f493b3eb32b054292a96158422f09481f2f133af |
| Org ID | c4203981-8097-4389-a62f-28641fb07795 |
| Source ID | 48198300-df5c-4e2b-b5d0-832ff9edf7f9 |
| Board ID | 48198300-df5c-4e2b-b5d0-832ff9edf7f9 |
| Provider | workable |
| Provider Job Key | 7BB2A6BCC5 |
| Title | Lead Data Scientist, Appraisal & Pricing |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | San Francisco, United States (Hybrid) |
| Department | Other |
| Team | — |
| Employment Type | — |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | — |
| City | San Francisco |
| Salary Raw | Description 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 |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://apply.workable.com/amplio/jobs/view/7BB2A6BCC5 |
| Apply URL | https://apply.workable.com/amplio/j/7BB2A6BCC5/apply |
| First Seen At | 2026-05-31 17:47:28Z |
| Last Seen At | 2026-06-21 14:13:42Z |
| Last Checked At | 2026-06-21 14:13:42Z |
| Last Changed At | 2026-05-31 17:47:28Z |
| Inactive At | — |
| Source Posted At | 2025-12-01 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=workable/board=amplio/date=2026-06-21/2026-06-21T14-13-42-255Z-edc5edf09bd752aaf74f7284f631e822bf0e911ae18d4014c5d8e04bf7a2d40a.json |
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