Sr Operations Research Scientist - Supply Chain Network Optimization (Python, ML, Simulation)

Target

Hybrid Actively hiring
Minneapolis, MN Posted 23 days ago $98,000$176,000 / year

At a glance

AI generated

TL;DR

As 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

Python R PySpark Hadoop SQL Machine Learning Operations Research Discrete Event Simulation MILP Linear Programming Stochastic Processes Statistics Data Mining Forecasting Inventory Planning Logistics

What you'll do

  • Analyze granular supply chain data to develop key performance metrics.
  • Perform root cause analysis to identify drivers of operational variance.
  • Apply OR methodologies like linear programming and stochastic processes.
  • Develop complex algorithms and simulation models for optimization.
  • Interpret model results to provide actionable insights to leadership.

What we're looking for

  • PhD or MS in Operations Research, Industrial Engineering, Computer Science, Data Science, Applied Mathematics, Physics, or equivalent work experience.
  • 3+ years of industry experience in supply chain optimization, simulation, and probability statistics.
  • Strong programming skills in Python or R and advanced SQL querying.
  • Experience with data pipeline building in the Hadoop ecosystem (PySpark).
  • Extensive knowledge of operations research methodologies including linear programming, stochastic processes, and discrete event simulation.
  • Ability to collaborate effectively across cross-functional teams and provide insights to leadership.

Market check

Salary context

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

About Target

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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