Fetcherr
Director, Subject Matter Expert — Consumer Appliances Pricing & Retail Revenue Management
Kentucky, US · Director
Sponsorship not specifiedDetected 1 day ago
Data ScienceA/B TestingNegotiationForecastingCadenceDemand Planning
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16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams.
- Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes.
- The ideal candidate brings hands-on experience in promotional pricing strategy, retail revenue management, or demand-driven merchandising within a major appliance manufacturer, big-box retailer, or related e-commerce environment.
Responsibilities
- Validate model assumptions, review recommendations against real-world retail scenarios, help define guardrail frameworks, and prioritize experiments during the pilot phase
Requirements
- Provide deep expertise on appliance retail pricing dynamics including MSRP, MAP, and pMAP mechanics, promotional event cadence (typically 2-4 week cycles), advance planning timelines, and retailer negotiation practices
- Proven experience in pricing optimization, demand forecasting, or revenue management - specifically within consumer appliances manufacturing, big-box retail, or durable goods e-commerce - a must
- Ability to bridge business knowledge and data/product teams - translating retail pricing logic and promotional dynamics into actionable modeling strategies and feature definitions
- Experience with relevant data sources and systems: POS/sell-through data by SKU and region, competitive price monitoring tools, promotional planning systems, and channel performance reporting
Benefits
- Bonus: experience with AI-driven pricing tools, revenue management platforms, or working alongside data science teams on pricing model validation and experimentation design
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