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

About the role

The Sr Operations Research Scientist - Supply Chain Network Optimization (Python, ML, Simulation) position at Target is a unique opportunity to shape the future of Supply Chain and Logistics for a Fortune 50 company and one of America’s leading retailers. This role involves optimizing Target’s global supply chain end to end, from sourcing to delivery of packages to guests, using advanced mathematical techniques and large data sets.

Responsibilities

• Know your business and understand supply chain operational metrics and costs of end to end operations of supply chain.
• Analyze large amounts of supply chain data at the most granular level and develop key metrics to evaluate the performance and optimization opportunities for supply chain across sales, transportation, operations and inventory.
• Perform root cause analysis to understand key drivers related to operational performance and variance in the projected outcomes.
• Utilize operations research methodologies (linear programming, stochastic processes, simulation) to solve complex business problems.
• Collaborate with cross-functional teams including software engineers, applied data scientists and business stakeholders to gather inputs, assumptions and understand business process along the way.
• Interpret results from the models and provide insights to the leadership team.
• Develop clear inferences with data to influence decision making with senior leaders.

Requirements

• 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 or equivalent domain experience.
• Demonstrated programming experience using Python or R as well as advanced SQL querying skillset.
• Proven experience in data pipeline building in the Hadoop ecosystem (PySpark).
• Extensive knowledge of supply chain concepts such as forecasting, inventory planning, optimization and logistics.
• Knowledge of statistics and data mining techniques/tools to analyze and derive insights from historical sales data and simulation or experiment results.

Qualifications

• Deep passion for problem solving, empirical research and continuous improvement.
• Excellent communication skills with the ability to clearly tell data-driven stories through appropriate visualizations, graphs, and narratives.
• Self-driven and results-oriented - able to meet tight timelines.
• Motivated, team player with ability to collaborate effectively across global team.

Skills

• Strong working experience with large data sets.
• Strong programming skills (Python/R).
• Foundational understanding of probability theory, machine learning and Monte Carlo simulations.
• Extensive knowledge of statistics, operations research and discrete event simulation.

Benefits

Target offers a comprehensive benefits package including:

• Comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.
• 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation.
• Competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

Pay and Schedule

The pay range for this position is $98,000.00 - $176,000.00, based on several factors which vary based on position, including labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family.