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Lead Data Scientist - Supply Chain Network Planning Design (applied ML)

Target
22 hours ago
Full-time
On-site
Minneapolis, MN, United States
Direct

The pay range is $132,000.00 - $286,000.00 Pay is based on several factors which vary based on position. These include 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. Target offers eligible team members and their dependents 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. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits . JOIN TARGET AS A LEAD DATA SCIENTIST – NETWORK PLANNING AND DESIGN About us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here . A role with Target Data Sciences means the chance to help develop and manage state of the art predictive and prescriptive algorithms that use data to automate and optimize decisions at scale. The Target Data Sciences - Supply Chain Optimization team leverages operations research, simulation, and machine learning to help Target makes intelligent supply chain business decisions. This involves writing high-performant, scalable code as well as designing analytical solutions to extract insights and to prescribe best courses of action. Join Target’s Last Mile and Operations Design team where your goal will be to accelerate omni-channel experimentation to foster a culture of continuous innovation at Target. We believe that continuous innovation is critical to delivering and exceeding our brand promise of “Expect More Pay Less” to Target’s guests irrespective of their preferred channel of engagement and commerce. You will enable continuous innovation and drive business performance in our Target Last Mile Delivery space. As a Lead Data Scientist – Network Planning and Design , you will be responsible for building the analytical models and decision-support systems that shape Target’s long-term supply chain architecture and investment roadmap. This includes developing and evolving a portfolio of optimization models, simulations, digital twins, forecasting and capacity models as well as scenario-planning tools used to evaluate billions of dollars in potential network and capability investments. As a Lead Data Scientist – Network Planning & Design you will drive: Strategic Problem Framing and Executive Influence: Define and structure ambiguous supply chain problems into clear frameworks for decision-making in partnership with Network Design, Flow, and Capacity Planning teams Synthesize insights into compelling narratives for executive audiences and guide decision-making at scale Influence senior stakeholders across Supply Chain, Operations, Finance, Technology, Strategy and Merchandising Advanced Modeling and Decision Science: Own the development of optimization, simulation, forecasting, digital twin, and machine learning capabilities supporting Target’s long-term network strategy Apply operations research and advanced analytics to decisions including network footprint, capacity planning, inventory placement, product flow, automation, transportation, and reverse logistics Ensure models accurately represent real-world constraints, uncertainty, and operating dynamics while remaining scalable and actionable Establish strong practices for scenario analysis, sensitivity testing, model validation, and decision support Build reusable analytical capabilities that enable faster and more consistent strategic decision-making Own, maintain, and continuously enhance strategic planning models to ensure accuracy, scalability, and al…

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