Lead Operations Research Scientist - Enterprise Network Strategy(Remote Or Hybrid)
About the position
The Lead Operations Research Scientist - Enterprise Network Strategy at Target is responsible for shaping the future of the company's supply chain and logistics strategy. This role involves optimizing Target's global supply chain from sourcing to delivery, utilizing advanced data analysis, complex algorithms, and simulation models to solve real-world problems. The position requires collaboration with various stakeholders across the organization to drive supply chain transformation and improve operational performance.
Responsibilities
Develop an understanding of supply chain operational and financial metrics through data analysis and perform root cause analysis to understand performance drivers.
,
Retrieve and analyze large amounts of supply chain data and develop key metrics to evaluate performance across sales, transportation, operations, and inventory.
,
Design and implement complex optimization models for network design, routing, and scheduling.
,
Utilize operations research and machine learning methodologies to solve complex business problems at scale.
,
Collaborate with cross-functional teams to formulate solutions and implement recommendations.
,
Interpret results from models and provide insights to the leadership team.
,
Lead peers and mentor junior team members as needed based on projects.
,
Develop clear and concise stories and problem statements with data to influence decision-making with senior leadership.
Requirements
PhD or Masters in Operations Research, Data Sciences, Computer Science, Industrial Engineering, Applied Mathematics, or relevant work/research experience.
,
5+ years of experience in building and developing advanced optimization, simulation, and machine learning models that perform at scale.
,
Significant expertise in Optimization Theory, dynamic programming, linear algebra, probability, and statistics.
,
Experience solving large scale operations research problems using decomposition methods.
,
Highly proficient in SQL, Big Data/Hadoop, and programming in Python or R.
,
Excellent interpersonal and communication skills to partner with global teams.
,
Constant learner mentality that stays on the leading edge of supply chain optimization.
Nice-to-haves
Benefits
Comprehensive health benefits including medical, vision, dental, and life insurance.
,
401(k) plan.
,
Employee discount program.
,
Short-term and long-term disability insurance.
,
Paid sick leave.
,
Paid national holidays.
,
Paid vacation.
Apply Now
The Lead Operations Research Scientist - Enterprise Network Strategy at Target is responsible for shaping the future of the company's supply chain and logistics strategy. This role involves optimizing Target's global supply chain from sourcing to delivery, utilizing advanced data analysis, complex algorithms, and simulation models to solve real-world problems. The position requires collaboration with various stakeholders across the organization to drive supply chain transformation and improve operational performance.
Responsibilities
Develop an understanding of supply chain operational and financial metrics through data analysis and perform root cause analysis to understand performance drivers.
,
Retrieve and analyze large amounts of supply chain data and develop key metrics to evaluate performance across sales, transportation, operations, and inventory.
,
Design and implement complex optimization models for network design, routing, and scheduling.
,
Utilize operations research and machine learning methodologies to solve complex business problems at scale.
,
Collaborate with cross-functional teams to formulate solutions and implement recommendations.
,
Interpret results from models and provide insights to the leadership team.
,
Lead peers and mentor junior team members as needed based on projects.
,
Develop clear and concise stories and problem statements with data to influence decision-making with senior leadership.
Requirements
PhD or Masters in Operations Research, Data Sciences, Computer Science, Industrial Engineering, Applied Mathematics, or relevant work/research experience.
,
5+ years of experience in building and developing advanced optimization, simulation, and machine learning models that perform at scale.
,
Significant expertise in Optimization Theory, dynamic programming, linear algebra, probability, and statistics.
,
Experience solving large scale operations research problems using decomposition methods.
,
Highly proficient in SQL, Big Data/Hadoop, and programming in Python or R.
,
Excellent interpersonal and communication skills to partner with global teams.
,
Constant learner mentality that stays on the leading edge of supply chain optimization.
Nice-to-haves
Benefits
Comprehensive health benefits including medical, vision, dental, and life insurance.
,
401(k) plan.
,
Employee discount program.
,
Short-term and long-term disability insurance.
,
Paid sick leave.
,
Paid national holidays.
,
Paid vacation.
Apply Now