Sr Data Scientist - Global Supply Chain and Logistics
Target
At a glance
AI generatedAs a Senior Operations Research Scientist on Target’s Supply Chain Network Optimization (SCNO) team, you will tackle complex supply chain challenges by analyzing vast datasets and developing sophisticated algorithms and simulation models. Your daily tasks include understanding operational metrics, identifying optimization opportunities, performing root cause analysis, and applying methodologies like linear programming and stochastic processes to solve intricate business problems. You’ll collaborate closely with software engineers, data scientists, and stakeholders to gather insights and build robust solutions, interpreting model results to inform leadership decisions. Ideal candidates have a PhD or MS in relevant fields, 3+ years of industry experience in supply chain optimization, strong skills in Python or R, and knowledge of Hadoop ecosystem tools like PySpark. The role demands expertise in operations research, discrete event simulation, and the ability to drive impactful changes across Target’s global supply chain network.
Skills
What you'll do
What we're looking for
Market check
This $98,000–$176,000 range sits above 20% of similar postings on FindRole.
Peer median band
$143,500–$215,050
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$144,912–$219,043
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
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 42 open roles on FindRole.
Listed pay typically runs $98,000–$176,000 across 42 roles with salary data.
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