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Target

Sr Data Scientist - Merchandise Scaling (applied ML)

Target, Minneapolis, Minnesota, United States, 55443

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Join Target As A Sr Data Scientist

Merchandising Scaling

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. 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. As Sr Data Scientist, you will join a Target Tech team responsible for Merchandising Assortment Data Science products. You will collaborate with Product, Tech, and business partners to solve retail challenges at scale for our merchandising organization. You will design, develop, deploy, and maintain data science models and tools. You'll work closely with data scientists, engineers, and business partners to continuously learn and address evolving business needs. You'll also collaborate with product and engineering partners on peer teams to build and productionize enterprise merchandising solutions. Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs. About you: PhD/MS/BS in Applied Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science or related quantitative field 3 plus years of experience cleaning, transforming and analyzing large datasets for insights leading to business improvements Experience developing, testing, and maintaining large codebases in a collaborative environment while meeting industry best practices Demonstrated knowledge of mathematical and statistical concepts, data structures, algorithm design, data analysis, optimization, simulations and visualizations applied to business problems Good working knowledge of Python for machine learning - including supervised and unsupervised methods and their applications Experience deploying solutions with large-scale business impact Self-driven and results-oriented, with the ability to meet tight timelines Strong team player with the ability to collaborate across geographies/time zones Excellent written and verbal communication skills This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota. Benefits Eligibility Please paste this url into your preferred browser to learn about benefits eligibility for this role:

https://tgt.biz/BenefitsForYou_D Americans with Disabilities Act (ADA) In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to

candidate.accommodations@HRHelp.Target.com . Application deadline is : 06/19/2025