Resume and JobRESUME AND JOB
Target logo

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

Target

Software and Technology Jobs

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

part-timePosted: Jan 16, 2026

Job Description

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 : 01/29/2026

Locations

  • 7000 Target Pkwy N, NCD-0375 Brooklyn Park, United States

Salary

95,000 - 171,000 USD / yearly

Estimated Salary Rangemedium confidence

95,000 - 171,000 USD / yearly

Source: Disclosed

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Pythonintermediate
  • Rintermediate
  • SQLintermediate
  • Scalaintermediate
  • Machine Learningintermediate
  • Forecastingintermediate
  • Data Visualizationintermediate
  • Mathematical Modelingintermediate
  • Probabilistic Modelsintermediate
  • Deterministic Modelsintermediate
  • ML Opsintermediate
  • Data Analysisintermediate
  • Algorithmsintermediate
  • Data Structuresintermediate

Required Qualifications

  • MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science or equivalent (experience)
  • 3+ years professional experience applying Machine Learning models in Retail or related domains (experience)
  • Demonstrated programming experience in Python, R, SQL or Scala (experience)
  • Strong analytical thinking (experience)
  • Experience cleaning, transforming, analyzing large datasets (experience)
  • Experience developing, testing, maintaining large codebases (experience)
  • Extensive knowledge of mathematical/statistical concepts (experience)
  • Experience deploying solutions in ML Ops (experience)
  • Forecasting experience desired (experience)

Responsibilities

  • Collaborate with Product, Tech, business partners
  • Design, develop, deploy, maintain data science models/tools
  • Develop understanding of business/operational processes in Target Stores
  • Analyze large datasets for insights
  • Develop forecasting models, mathematical models for production
  • Build/maintain complex software systems/tools
  • Coordinate analysis, troubleshooting, resolution of issues
  • Partner with cross-functional teams
  • Provide financial insight/guidance
  • Drive efficiencies via automation
  • Deliver insights to stakeholders

Benefits

  • general: Comprehensive health benefits (medical, vision, dental)
  • general: Life insurance
  • general: 401(k)
  • general: Employee discount
  • general: Short term disability
  • general: Long term disability
  • general: Paid sick leave
  • general: Paid national holidays
  • general: Paid vacation

Target Your Resume for "Sr Data Scientist - Stores and Properties (applied ML, forecasting)" , Target

Get personalized recommendations to optimize your resume specifically for Sr Data Scientist - Stores and Properties (applied ML, forecasting). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Sr Data Scientist - Stores and Properties (applied ML, forecasting)" , Target

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Answer 10 quick questions to check your fit for Sr Data Scientist - Stores and Properties (applied ML, forecasting) @ Target.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.

Target logo

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

Target

Software and Technology Jobs

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

part-timePosted: Jan 16, 2026

Job Description

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 : 01/29/2026

Locations

  • 7000 Target Pkwy N, NCD-0375 Brooklyn Park, United States

Salary

95,000 - 171,000 USD / yearly

Estimated Salary Rangemedium confidence

95,000 - 171,000 USD / yearly

Source: Disclosed

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Pythonintermediate
  • Rintermediate
  • SQLintermediate
  • Scalaintermediate
  • Machine Learningintermediate
  • Forecastingintermediate
  • Data Visualizationintermediate
  • Mathematical Modelingintermediate
  • Probabilistic Modelsintermediate
  • Deterministic Modelsintermediate
  • ML Opsintermediate
  • Data Analysisintermediate
  • Algorithmsintermediate
  • Data Structuresintermediate

Required Qualifications

  • MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science or equivalent (experience)
  • 3+ years professional experience applying Machine Learning models in Retail or related domains (experience)
  • Demonstrated programming experience in Python, R, SQL or Scala (experience)
  • Strong analytical thinking (experience)
  • Experience cleaning, transforming, analyzing large datasets (experience)
  • Experience developing, testing, maintaining large codebases (experience)
  • Extensive knowledge of mathematical/statistical concepts (experience)
  • Experience deploying solutions in ML Ops (experience)
  • Forecasting experience desired (experience)

Responsibilities

  • Collaborate with Product, Tech, business partners
  • Design, develop, deploy, maintain data science models/tools
  • Develop understanding of business/operational processes in Target Stores
  • Analyze large datasets for insights
  • Develop forecasting models, mathematical models for production
  • Build/maintain complex software systems/tools
  • Coordinate analysis, troubleshooting, resolution of issues
  • Partner with cross-functional teams
  • Provide financial insight/guidance
  • Drive efficiencies via automation
  • Deliver insights to stakeholders

Benefits

  • general: Comprehensive health benefits (medical, vision, dental)
  • general: Life insurance
  • general: 401(k)
  • general: Employee discount
  • general: Short term disability
  • general: Long term disability
  • general: Paid sick leave
  • general: Paid national holidays
  • general: Paid vacation

Target Your Resume for "Sr Data Scientist - Stores and Properties (applied ML, forecasting)" , Target

Get personalized recommendations to optimize your resume specifically for Sr Data Scientist - Stores and Properties (applied ML, forecasting). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Sr Data Scientist - Stores and Properties (applied ML, forecasting)" , Target

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Answer 10 quick questions to check your fit for Sr Data Scientist - Stores and Properties (applied ML, forecasting) @ Target.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.