Lead Operations Research Analyst - Network Planning

Minneapolis, Minnesota
Mar 06, 2019
May 24, 2019
Employment Status
Full Time
The Global Supply Chain Design and Decision Sciences team is responsible for defining Target Supply Chain's future operating model across the full value chain from vendor to guest. This team is responsible for developing optimization, simulation, machine learning models and niche data science techniques to evaluate product flow from vendor to distribution center, across the first mile, middle mile and last mile, with focus on delivery speed, ensuring sufficient capacity for throughput and storage (inventory modeling) in the network and improve operating efficiencies both within 4 walls of distribution center and across the network. A team member in this role will leverage different techniques, such as Linear programming, mixed integer programming, clustering, Monte Carlo simulation, discrete event simulation, regression, random forest, SVM's and other machine learning techniques along with advanced statistical skills and also collaborate with stake holders across product, technology and business teams to transform Target's Supply chain.

Primary Responsibilities
  1. Develop an understanding of Target supply chain data and gather and analyze the same to understand the current state of Target's supply chain
  2. Identify underlying patterns and business opportunities within the data
  3. Development of optimization, simulation models and different algorithms to evaluate variety of business opportunities across supply chain
  4. Develops custom scalable and sustainable integrated mathematical models by leveraging technical skills across Python, R, Spark, Hadoop and other big data tools and optimization solvers such as Gurobi, CBC, Cplex etc.
  5. Able to define the problem under ambiguous business considerations, gather the appropriate data, develop the models and deliver appropriate recommendations in time
  6. Define and conduct a variety experiments/different scenarios to validate/reject hypothesis and inform appropriate recommendations to stake holders
  7. Works with peer and stake holder across Planning , Design, Supply Chain , Merchandising, Finance and Store Operations to evaluate different business opportunities
  8. Mentors and learns from other operations research analysts
  9. Fosters a culture of innovation and inclusiveness

Basic Qualifications
  • M.S/Phd in Operations Research, Industrial Engineering, Mathematics, Computer science and other related quantitative fields
  • 5+ years of relevant work experience, preferably in a supply chain environment
  • Familiarity and experience with programming in a few of the following
  • SQL, R, Python, Spark, Shell script, SAS,
  • Knowledge and experience with implementation of optimization and simulation models
  • Knowledge of advanced statistics, Mathematical programming (Deterministic, stochastic, constrained), Analysis of algorithms and computational complexity


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