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We are looking for a Lead Data Scientist with 8+ years of experience to head a team of applied scientists working on the quantitative problems that sit at the heart of retail operations.
This is a hands-on leadership role for someone who can both set technical direction — spanning statistics, optimization, and machine learning — and stay close enough to the work to review a model, question an assumption, or unblock a stuck analysis.
You will lead and grow a team of data scientists, set the technical roadmap for demand forecasting, price elasticity, and related pricing and planning models, and work closely with product, engineering, and operations leadership to turn quantitative insight into decisions retailers can act on.
Logile is the leading retail labor planning, workforce management, inventory management and store execution provider deployed in thousands of retail locations across North America, Europe, Australia, and Oceania.
Our proven AI, machine-learning technology and industrial engineering accelerate ROI and enable operational excellence with improved performance and empowered employees. Retailers worldwide rely on Logile solutions to boost profitability and competitive advantage by delivering the best service and products at optimal cost.
From labor standards development and modeling to unified forecasting, storewide scheduling, and time and attendance, to inventory management, task management, food safety, and employee self-service — we transform retail operations with a unified store-level solution. Gain the Advantage with The Logic of Retail. One Platform for store planning, scheduling and execution.
For more information, visit www.logile.com
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AI-powered retail operations software provider helping retailers unify forecasting, labor, inventory, fresh operations and food safety.
Full-time
Senior · 8+ years experience
Onsite
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