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

Overview

On Site
USD 95,000.00 - 171,000.00 per year
Full Time

Skills

Life Insurance
Expect
Modeling
Product Development
Management
Art
Marketing
Supply Chain Optimization
Network Security
Payroll
Optimization
Energy
Data Science
Business Process
Software Development
Finance
Leadership
Analytics
Reporting
Mathematics
Statistics
Operations Research
Industrial Engineering
Physics
Computer Science
Machine Learning (ML)
Retail
Python
R
SQL
Scala
Test-driven Development
Analytical Skill
Data Visualization
Testing
Data Structure
Algorithms
Data Analysis
Machine Learning Operations (ML Ops)
Collaboration
Communication
Forecasting
Apache Flex
Web Browsers
ADA
Regulatory Compliance

Job Details

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 ;br>
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
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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

Application deadline is : 09/28/2025
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.