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HomeCompaniesAmplioLead Data Scientist, Appraisal & Pricing

Lead Data Scientist, Appraisal & Pricing

Amplio · San Francisco, United States (Hybrid) · Hybrid · Active · Workable

Job facts

FieldValue
CompanyAmplio
TitleLead Data Scientist, Appraisal & Pricing
Normalized title-
Department / teamOther
LocationSan Francisco, United States
Work modelHybrid / Hybrid
Employment type-
Salary-
Statusactive
ATS providerWorkable
Posted / first seen2025-12-01 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-21

Related slices

PageWhat it containsOpen
Company jobsActive postings from Amplio.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Workable.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Other.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAmplio
Source48198300-df5c-4e2b-b5d0-832ff9edf7f9
ATS providerWorkable

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 IDf493b3eb32b054292a96158422f09481f2f133af
Org IDc4203981-8097-4389-a62f-28641fb07795
Source ID48198300-df5c-4e2b-b5d0-832ff9edf7f9
Board ID48198300-df5c-4e2b-b5d0-832ff9edf7f9
Providerworkable
Provider Job Key7BB2A6BCC5
TitleLead Data Scientist, Appraisal & Pricing
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco, United States (Hybrid)
DepartmentOther
Team
Employment Type
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
Region
CitySan Francisco
Salary RawDescription 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 URLhttps://apply.workable.com/amplio/jobs/view/7BB2A6BCC5
Apply URLhttps://apply.workable.com/amplio/j/7BB2A6BCC5/apply
First Seen At2026-05-31 17:47:28Z
Last Seen At2026-06-21 14:13:42Z
Last Checked At2026-06-21 14:13:42Z
Last Changed At2026-05-31 17:47:28Z
Inactive At
Source Posted At2025-12-01 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=workable/board=amplio/date=2026-06-21/2026-06-21T14-13-42-255Z-edc5edf09bd752aaf74f7284f631e822bf0e911ae18d4014c5d8e04bf7a2d40a.json
Event Fields
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  "last_changed_at": "2026-05-31T17:47:28.115Z",
  "active_status": "active"
}
Parsed Structured
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Extensions
{}
Native Structured
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