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Sr Data Scientist - Stores and Properties; applied ML, forecasting

Job in Brooklyn Park, Hennepin County, Minnesota, USA
Listing for: Target
Full Time position
Listed on 2025-12-25
Job specializations:
  • IT/Tech
    Data Analyst, Machine Learning/ ML Engineer, Data Scientist, AI Engineer
Salary/Wage Range or Industry Benchmark: 95000 USD Yearly USD 95000.00 YEAR
Job Description & How to Apply Below
Position: Sr Data Scientist - Stores and Properties (applied ML, forecasting)

The pay range is $95,000.00 - $

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

JOIN US AS A SENIOR DATA SCIENTIST – STORE AND PROPERTIES

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 predictivealgorithmsthatuse data at scale to automate and optimize decisions ther 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.

Pyramid Overview:

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 ther 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.

Team Overview:
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.

Position Overview:

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.

About You:

  • M…
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