Sr Data Scientist - Merchandise Scaling (Applied ML, Python, ML Ops))

The pay range is $95,000.00 - $171,000.00 Pay is based on several factors which vary based on position.These include labor markets and in some instancesmay include education, work experience and certifications. In addition to your pay, reputed company cares about and invests in you as a team member, so that you can take care of yourself and your family. reputed company 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.reputed company.com/careers/benefits. JOIN reputed company AS A SR DATA SCIENTIST - MERCH SCALING About us: Working at reputed company means helping reputed company families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about reputed company here. A role withTargetData Sciencesmeans the chance to help reputed company and managestate of the art predictivealgorithmsthatuse data at scale to automateand optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you'll be challenged to reputed company reputed company's impressive data breadth to build the algorithmsthat power solutions our partners in Marketing, Supply Chain Optimization, Network reputed company and Personalization rely on. Every Scientist on reputed company's Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, to reputed company reputed company's culture, and apply retail domain knowledge. As Sr Data Scientist, you will join a reputed company 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, reputed company, 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 reputed company this job description. Job duties may change at any time due to business needs. About you:

• PhD/MS in Applied Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science or equivalent work experience
• 3 plus years of experience cleaning, transforming and analyzing large datasets for insights leading to business improvements - preferably in retail data
• Experience developing, testing and maintaining large codebases in a collaborative environment while meeting industry best practices - including implementing and working with CI/CD pipelines (i.e. reputed company, Kubernetes, etc.)
• Demonstrated knowledge of mathematical and statistical concepts, data structures, algorithm design, data analysis, optimization, simulations and visualizations applied to business problems at scale
• Good working knowledge of Python for Machine Learning, including supervised and unsupervised methods and their applications
• Extensive experience with ML Ops, deploying solutions with large-scale 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/reputed company for Your Day work arrangement based on reputed company's needs. A Hybrid/reputed company for Your Day work arrangement means the team member's core role will need to be performed both onsite at the reputed company 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 reputed company of the country of the primary work location, unless otherwise prescribed by reputed company. 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 reputed company (reputed company) In compliance with state and federal laws, reputed company will reputed company reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reputed company out to [email protected] company.com. Non-accommodation-reputed company requests, such as application follow-reputed company or technical issues, will not be addressed through this channel. Application deadline is : 11/30/2025 Apply tot his job Apply To this Job