Profitmind · 7 hours ago
Machine Learning Engineer - Optimization & Insights (Retail)
Pittsburgh, PA
Full-time
Onsite
Mid Level
3+ years expProfitmind is building the intelligence behind how retailers make pricing and merchandising decisions. The Machine Learning Engineer will design and deploy models to solve retail challenges and transform complex data into actionable insights for major retailers.
RetailSoftware
Responsibilities
Design and deploy models specifically for retail challenges, such as demand forecasting, price elasticity at the SKU level, seasonality detection, and markdown optimization
Evolve our Python-based optimization engine to handle complex retail constraints (e.g., maintaining brand standards, psychological price points, and inventory sell-through targets)
Engineer systems that explain the 'why' behind a price change. You will translate model outputs into merchant-friendly insights (e.g., 'We recommend a markdown here because competitor X dropped price and inventory depth is high')
Develop logic to optimize products across their entire lifecycle—from initial price setting to promotional strategies and final clearance
Build robust data pipelines to ingest and process diverse retail datasets, including POS transactions, competitor scraping, and inventory feeds
Work closely with product managers to understand the needs of category managers and pricing analysts, ensuring our algorithms solve real-world merchandising pain points
Qualification
Required
3+ years of experience building production ML systems using Python, Scikit-learn, or PyTorch, with a focus on regression and time-series forecasting
A strong understanding of (or deep interest in) retail mechanics—how inventory turns, gross margin, and sell-through rates drive business success
Familiarity with mathematical optimization techniques and how to apply them to business constraints (e.g., linear programming, constraint satisfaction)
Expert SQL skills and ability to model complex data relationships (e.g., parent-child product hierarchies, store clusters)
The ability to look at an optimization result and explain the business logic behind it. You can debug not just code, but the retail logic
Bachelor's degree in Computer Science, Data Science, Machine Learning, Mathematics, or a related technical field
Preferred
Master's degree in Artificial Intelligence, Computer Science, Operations Research, or Statistics
Experience in Retail Analytics, E-commerce, Supply Chain, or Revenue Management
Familiarity with 'Explainable AI' (XAI) tools to make black-box models transparent to business users
Experience handling sparse data or cold-start problems (e.g., pricing new products with no history)
Company
Profitmind
Profitmind enables retailers to auto-identify competitors across the internet and track their assortments, and optimize prices in real time.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$5MKey Investors
Accenture VenturesAI Fund,Magarac Venture Partners
2026-01-08Series Unknown
2022-11-29Seed· $5M
Leadership Team
Mark Chrystal
Chief Executive Officer
Recent News
2026-01-22
2026-01-11
2026-01-09
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