Senior Applied Data Scientist, Supply Chain Optimization
Target
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This role pays more than 50% of similar roles. Most pay $162,000–$241,750 — the blue band above. At the midpoint, this role pays about $209k versus about $202k for comparable roles.
Based on 240 similar postings.
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Target Corporation is a large-format general merchandise and grocery retailer offering a wide assortment of everyday essentials, apparel, home goods, and electronics through stores and online. Industry: General Merchandise Retail
Target currently has 72 open roles on FindRole.
Listed pay typically runs $98,000–$176,000 across 55 roles with salary data.
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The Lead Data Scientist - Supply Chain Network Planning Design joins the Last Mile and Operations Design team to build analytical models and decision-support systems for long-term supply chain architecture. You will develop a portfolio of optimization models, simulations, digital twins, forecasting, and capacity models to evaluate network investments. Key responsibilities include framing ambiguous supply chain problems, synthesizing insights for executive audiences, and mentoring team members. You will utilize Python, R, Kotlin, or Java to write high-performant code, employing SQL, Hive, and mathematical optimization solvers like Gurobi. The role requires applying operations research, machine learning, and advanced statistical techniques like regression and clustering to solve complex problems regarding network footprint, inventory placement, product flow, and reverse logistics within a large-scale retail supply chain environment.
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