Target
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 TARGET AS A SR DATA SCIENTIST - RECOMMENDATIONS
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 to automate and optimize decisions at scale. Whether you join our Data Sciences 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, Demand Forecasting, Search 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.
As a Sr Data Scientist, you'll work on the Target Data Science Recommendations team collaborating with applied data scientists, machine learning engineers and product managers to build and augment our AI-driven digital Recommendation products. Through your understanding of deep learning, machine learning, linear algebra, probability theory, statistics, and optimization you'll leverage Python and Scala to perform data exploration and analysis, implement algorithmic solutions given specifications, push solutions to our production environment as well as analyze performance and trade-offs to determine the best solution. We will expect you to understand Agile principles, follow best-practice software design, participate in code reviews, create a maintainable and well-tested codebase with relevant documentation. On the business side, you'll document and present work to technical and non-technical peers, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need.
Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
About you:
4-year degree in quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience PhD/MS in Computer Science, Applied Mathematics, Physics, Data Sciences or relevant industry experience 3+ years end to end experience with applied ML and recommender systems Experience designing and developing deep learning (PyTorch, TensorFlow), machine learning, optimization and statistical models at scale Strong hands-on programming skills in Python and extensive experience with SQL, PySpark, Hive, and/or Scala Experience with ML Ops (Vertex AI, Bigquery, etc.) and various testing frameworks and containerization (Docker, Kubernetes) Good working knowledge of mathematical and statistical concepts, algorithms and computational complexity Strong problem solving skills; develop innovative solution to help solve real-world business problems using data sciences approaches Able to create documents and narrative suggesting actionable insights Excellent communication skills; able to clearly tell data driven stories through appropriate visualizations, graphs and narratives Self-driven and results oriented; able to meet tight timelines Team player with ability to collaborate effectively across geographies/time zones 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.Application deadline is : 09/30/2025" }
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Sr Data Scientist - Recommendations (Applied ML, Deep Learning, ML Ops))
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: R0000403920
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 TARGET AS A SR DATA SCIENTIST - RECOMMENDATIONS
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 to automate and optimize decisions at scale. Whether you join our Data Sciences 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, Demand Forecasting, Search 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.
As a Sr Data Scientist, you'll work on the Target Data Science Recommendations team collaborating with applied data scientists, machine learning engineers and product managers to build and augment our AI-driven digital Recommendation products. Through your understanding of deep learning, machine learning, linear algebra, probability theory, statistics, and optimization you'll leverage Python and Scala to perform data exploration and analysis, implement algorithmic solutions given specifications, push solutions to our production environment as well as analyze performance and trade-offs to determine the best solution. We will expect you to understand Agile principles, follow best-practice software design, participate in code reviews, create a maintainable and well-tested codebase with relevant documentation. On the business side, you'll document and present work to technical and non-technical peers, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need.
Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
About you:
4-year degree in quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience PhD/MS in Computer Science, Applied Mathematics, Physics, Data Sciences or relevant industry experience 3+ years end to end experience with applied ML and recommender systems Experience designing and developing deep learning (PyTorch, TensorFlow), machine learning, optimization and statistical models at scale Strong hands-on programming skills in Python and extensive experience with SQL, PySpark, Hive, and/or Scala Experience with ML Ops (Vertex AI, Bigquery, etc.) and various testing frameworks and containerization (Docker, Kubernetes) Good working knowledge of mathematical and statistical concepts, algorithms and computational complexity Strong problem solving skills; develop innovative solution to help solve real-world business problems using data sciences approaches Able to create documents and narrative suggesting actionable insights Excellent communication skills; able to clearly tell data driven stories through appropriate visualizations, graphs and narratives Self-driven and results oriented; able to meet tight timelines Team player with ability to collaborate effectively across geographies/time zones
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.Application deadline is : 09/30/2025
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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 TARGET AS A SR DATA SCIENTIST - RECOMMENDATIONS
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 to automate and optimize decisions at scale. Whether you join our Data Sciences 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, Demand Forecasting, Search 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.
As a Sr Data Scientist, you'll work on the Target Data Science Recommendations team collaborating with applied data scientists, machine learning engineers and product managers to build and augment our AI-driven digital Recommendation products. Through your understanding of deep learning, machine learning, linear algebra, probability theory, statistics, and optimization you'll leverage Python and Scala to perform data exploration and analysis, implement algorithmic solutions given specifications, push solutions to our production environment as well as analyze performance and trade-offs to determine the best solution. We will expect you to understand Agile principles, follow best-practice software design, participate in code reviews, create a maintainable and well-tested codebase with relevant documentation. On the business side, you'll document and present work to technical and non-technical peers, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need.
Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
About you:
4-year degree in quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience PhD/MS in Computer Science, Applied Mathematics, Physics, Data Sciences or relevant industry experience 3+ years end to end experience with applied ML and recommender systems Experience designing and developing deep learning (PyTorch, TensorFlow), machine learning, optimization and statistical models at scale Strong hands-on programming skills in Python and extensive experience with SQL, PySpark, Hive, and/or Scala Experience with ML Ops (Vertex AI, Bigquery, etc.) and various testing frameworks and containerization (Docker, Kubernetes) Good working knowledge of mathematical and statistical concepts, algorithms and computational complexity Strong problem solving skills; develop innovative solution to help solve real-world business problems using data sciences approaches Able to create documents and narrative suggesting actionable insights Excellent communication skills; able to clearly tell data driven stories through appropriate visualizations, graphs and narratives Self-driven and results oriented; able to meet tight timelines Team player with ability to collaborate effectively across geographies/time zones 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.Application deadline is : 09/30/2025" }
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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 Workforce Diversity Report 2020 Workforce Diversity Report 2021 Workforce Diversity Report 2022 Workforce Diversity Report
EEO-1 Report 2021 EEO-1 Report 2022 EEO-1 Report
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
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Back to search results Home Careers Job Search
Sr Data Scientist - Recommendations (Applied ML, Deep Learning, ML Ops))
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: R0000403920
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 TARGET AS A SR DATA SCIENTIST - RECOMMENDATIONS
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 to automate and optimize decisions at scale. Whether you join our Data Sciences 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, Demand Forecasting, Search 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.
As a Sr Data Scientist, you'll work on the Target Data Science Recommendations team collaborating with applied data scientists, machine learning engineers and product managers to build and augment our AI-driven digital Recommendation products. Through your understanding of deep learning, machine learning, linear algebra, probability theory, statistics, and optimization you'll leverage Python and Scala to perform data exploration and analysis, implement algorithmic solutions given specifications, push solutions to our production environment as well as analyze performance and trade-offs to determine the best solution. We will expect you to understand Agile principles, follow best-practice software design, participate in code reviews, create a maintainable and well-tested codebase with relevant documentation. On the business side, you'll document and present work to technical and non-technical peers, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need.
Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
About you:
4-year degree in quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience PhD/MS in Computer Science, Applied Mathematics, Physics, Data Sciences or relevant industry experience 3+ years end to end experience with applied ML and recommender systems Experience designing and developing deep learning (PyTorch, TensorFlow), machine learning, optimization and statistical models at scale Strong hands-on programming skills in Python and extensive experience with SQL, PySpark, Hive, and/or Scala Experience with ML Ops (Vertex AI, Bigquery, etc.) and various testing frameworks and containerization (Docker, Kubernetes) Good working knowledge of mathematical and statistical concepts, algorithms and computational complexity Strong problem solving skills; develop innovative solution to help solve real-world business problems using data sciences approaches Able to create documents and narrative suggesting actionable insights Excellent communication skills; able to clearly tell data driven stories through appropriate visualizations, graphs and narratives Self-driven and results oriented; able to meet tight timelines Team player with ability to collaborate effectively across geographies/time zones
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.Application deadline is : 09/30/2025
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