Logo
Target

Sr Data Scientist - Stores and Properties

Target, Saint Paul, Minnesota, United States, 55130

Save Job

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 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 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 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.

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 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.

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:

MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science or equivalent work experience 3 plus years of professional experience in applying Machine Learning models to solve complex problems in Retail or related domains Demonstrated programming experience in Python, R, SQL or Scala and the ability to learn and apply new languages and test-driven development Strong analytical thinking and data visualization skills. Ability to creatively solve business problems and innovate new approaches 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. Extensive knowledge of mathematical and statistical concepts, forecasting, data structures, algorithms, data analysis, and visualizations applied to business problems Experience deploying solutions in ML Ops with large-scale business impacts 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 Forecasting experience desired 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. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel. Application deadline is : 10/30/2025" }

var gtmValues = {}; dataLayer = [];

gtmValues['pagetype'] = 'Job'; gtmValues['requisitionID'] = 'R0000402880'; gtmValues['postingID'] = 'JOB_POSTING-3-742437'; gtmValues['title'] = 'Sr Data Scientist - Stores and Properties (applied ML, forecasting)'; gtmValues['job-category'] = 'Target Tech'; gtmValues['job-category-secondary'] = ''; gtmValues['jobFamily'] = 'Data Science'; gtmValues['subJobFamily'] = 'Data Sciences'; gtmValues['subJobFamily-secondary'] = ''; gtmValues['jobProfile'] = 'Sr Data Scientist'; gtmValues['hierarchy'] = 'Corporate'; gtmValues['organization'] = 'Target'; gtmValues['basePayFrequency'] = 'Salary'; gtmValues['grade'] = '5'; gtmValues['datePublished'] = '2025-09-29'; gtmValues['workerSubType'] = 'Regular'; gtmValues['scheduleType'] = 'Full-time'; gtmValues['locationName'] = '0591 HQ Target Northern Campus'; gtmValues['locationType'] = '7-HQ'; gtmValues['address1'] = '7000 Target Pkwy N'; gtmValues['city'] = 'Brooklyn Park'; gtmValues['stateAbbreviated'] = 'MN'; gtmValues['countryAbbreviated'] = 'US'; gtmValues['zipCode'] = '55445'; gtmValues['personaActivityValue'] = 'target-tech';

dataLayer.push(gtmValues);

height="0" width="0" style="display:none;visibility:hidden"> (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= 'https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer','GTM-5X785G');

Skip to main navigation Skip to main navigation Skip to content Skip to footer Skip to chat Open menu

Target Corporate Home

About Purpose & History Our Leadership Our Corporate Strategy Our Commitments History Timeline

Our Locations Inside Our Stores Upcoming Stores Twin Cities Market

Products & Services Pickup & Delivery Services Target Brands

Contact & Help More to explore

Target's latest annual report

Brands you'll only find at Target News & Features

Lifestyle Company Team Guest Experience More to explore

Resources for the press

Financial news Careers

Job Search Career Areas Stores Store Leadership Store Hourly

Supply Chain Supply Chain Leadership Supply Chain Hourly

Corporate Administrative Support Assets Protection & Corporate Security Business Operations Corporate Affairs Finance & Accounting Global Supply Chain & Logistics Human Resources Insights, Strategy & Growth Legal Affairs, Risk & Compliance Marketing & Digital Merchandising & Global Sourcing Product Management Project & Program Management Real Estate, Design & Property Management Roundel Service Centers & Business Enablement Target Brands Target Tech UX Design, Research & Accessibility

Intern & Entry-Level Entry-Level Opportunities Graduate Programs & Internships Internships

Global

Hiring Process Interview Guide Recorded Video Interviews

Our Culture Stories

Careers FAQs California Privacy Notice

Pay & Benefits Growth & Development Events Job Map Fraudulent Job Postings Search jobs

Saved jobs

Search jobs

Saved jobs Sustainability & Governance

Sustainability Strategy: Target Forward Climate Climate Policy

Circularity Product & Packaging Design Waste Elimination & Reduction

Responsible Resource Use Chemicals Chemicals Policy

Environmental Impact of Products Cotton Commitment Commitment to Sustainable Seafood Forest Products Policy Palm Oil Commitment

Plastics Water

Our Team Human Capital Management Workplace Health & Safety

Belonging at the Bullseye

Serving and Strengthening Communities Disaster Preparedness & Response Volunteerism Grants & Corporate Giving Target Circle Community Giving

Target Foundation Hometown National Global Charter

Operating Ethically Code of Ethics Business Partner Code of Conduct Public Policy & Civic Engagement Civic Activity Issue Advocacy Political Engagement

Product Safety & Quality Assurance Food Safety Quality & Regulatory Compliance Tools and Processes Product Safety and Quality Assurance Tools and Processes

Environmental Management Systems & Strategy

Responsible Supply Chains Human Rights Supply Chain Labor & Human Rights Policies

Animal Welfare Responsible Sourcing and Manufacturing Practices Suppliers Supplier Support Standards of Vendor Engagement Supplier Intake Form

Traceability & Transparency Audit Program

Governance & Reporting Sustainability & Governance Priorities Reporting & Progress Reporting Archive

Corporate Governance Board of Directors & Management Board Committees & Charters Board Skills & Diversity

More to explore

Our commitments to guests, team and communities Investors

Corporate Overview Events & Presentations Financial Information Financial News Summary Financials Stock Information Historical Stock Price Information Investment Calculator

Annual Reports and Proxy Information Annual Reports and Archive Proxy Information and Archive

SEC Filings Shareholder Services Request Materials

Investor Email Alerts More to explore

Our corporate strategy

Our latest sustainability reporting Press

Releases Fact Sheets Statements Multimedia Library Media FAQs More to explore

Contact Target

Fast facts about Target

Open search

Close search

Search

Submit Search

Shop

Back to search results Home Careers Job Search

Sr Data Scientist - Stores and Properties (applied ML, forecasting)

7000 Target Pkwy N, Brooklyn Park, MN, US 55445 Target Tech Full-time $95,000 - $171,000 USD annually Apply

Save job

Remove saved job

7000 Target Pkwy N, Brooklyn Park, MN, US 55445 Target Tech Full-time $95,000 - $171,000 USD annually Job Id: R0000402880

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 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 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 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.

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 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.

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:

MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science or equivalent work experience 3 plus years of professional experience in applying Machine Learning models to solve complex problems in Retail or related domains Demonstrated programming experience in Python, R, SQL or Scala and the ability to learn and apply new languages and test-driven development Strong analytical thinking and data visualization skills. Ability to creatively solve business problems and innovate new approaches 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. Extensive knowledge of mathematical and statistical concepts, forecasting, data structures, algorithms, data analysis, and visualizations applied to business problems Experience deploying solutions in ML Ops with large-scale business impacts 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 Forecasting experience desired

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. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel. Application deadline is : 10/30/2025

+function (s, t, q) { (y = document.createElement("script")).type = "text/javascript"; y.src = "https://assets.culturehq.com/single-story-widget-job-mappings_1732564233.js"; y.onload = function () { CHQ(s, t, q) }; document.getElementsByTagName("head")[0].appendChild(y); }("#chq_1733243858362