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 algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Every Scientist on Target’s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, to elevate Target’s culture, and apply retail domain knowledge. A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. The Stores and Properties Data Science team supports many different initiatives from payroll forecasting, optimization for stores fulfillment planning, work that influences sustainable energy solutions in stores, and simulation for operations to just to name a few. Come join a collaborative team working on exciting solutions for our stores and properties partners. As a Sr Data Scientist, you will collaborate with Product, Tech, and business partners to solve retail challenges at scale within our stores. You will design, develop, deploy, and maintain data science models and tools. You’ll work closely with applied data scientists, data analysts, and business partners to continuously learn and address evolving business needs. You’ll also collaborate with engineers and data scientists on peer teams to build and stores solutions. Develop a strong understanding of business and operational processes within Target’s Stores. Gain an in-depth understanding of systems and processes influencing stores’ efficiency. Analyze large datasets to derive insights for business process improvements and solution development. Develop forecasting models, mathematical models (probabilistic/deterministic models), and implement them in real-world production systems with measurable impact. Collaborate with the team to build and maintain complex software systems and tools. Coordinate the analysis, troubleshooting, and resolution of issues in models and software. Partner with cross functional teams to deliver on business objectives Provide financial insight and guidance to business partners and leadership Drive efficiencies across analytics and reporting processes using automation Deliver meaningful insights to business teams, partners and stakeholders that support meaningful decisions. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees