Target
Lead Data Scientist - 1:1 Personalization and Custom Audience
Target, Saint Paul, Minnesota, United States, 55130
The pay range is $128,000.00 - $231,000.00
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 LEAD DATA SCIENTIST - 1:1 PERSONALIZATION
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 Digital, 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, Ad Tech, Supply Chain Optimization, Forecasting, Search and Personalization rely on. Every Scientist on Target's Data Sciences team can expect modeling and applied data sciences of highly performant code for model performance to elevate Target's culture and apply retail domain knowledge.
About the role:
As a Lead Data Scientist on the Audience team with Target Data Sciences, you'll lead and drive the development of machine learning models that power one-to-one Personalization at scale. In this role, you will design, build, and deploy advanced models that deliver highly relevant, individualized experiences across Digital channels. You will collaborate with cross-functional partners in Product, engineering, marketing and data analytics to define strategy, lead experimentation and ensure that personalization drives measurable impact for our guests and business.
In this role as a Lead Data Scientist, you'll:
Model Development: Design, build, and optimize ML models for one-to-one personalization, including recommendation systems, ranking models, customer propensity models, and reinforcement learning approaches Leadership and Strategy: Provide technical leadership to a team of data scientists and engineers, setting the vision and roadmap for personalization Experimentation and Measurement: Develop testing frameworks (A/B, multi-armed bandits, causal inference) to rigorously measure the impact of personalization initiatives Collaboration: Partner closely with product managers, engineers, and business stakeholders to translate business problems into data science solutions Scalability and Deployment: Ensure models are production-ready, scalable, and integrated into digital platforms with high reliability and performance Innovation: Stay current on advances in ML/AI (deep learning, embeddings, transformers, LLM's, reinforcement learning) and evaluate their application for personalization use cases 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 or PhD in quantitative disciplines - Computer Science, Applied Mathematics, Statistics, Physics or related quantitative industry experience 5+ years of applied data sciences experience, preferably with 3+ years of experience in large scale 1:1 personalization Proficient in one or more programming language - Python, R, Java or Scala Demonstrated experience building and deploying ML models in production environments Extensive experience in algorithm design, data structures, testing/measurement and ML Ops (GCP - Vertex AI, BigQuery, Spark, Databricks, Snowflake, etc.) Strong background in Machine Learning with hands-on experience in Personalization, NLP, and/or Deep Learning frameworks (TensorFlow, PyTorch, Scikit-learn) Excellent verbal and written communication skills with an ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Collaborative team player with ability to partner 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_E 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 : 09/18/2025" }
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Lead Data Scientist - 1:1 Personalization and Custom Audience
7000 Target Pkwy N, Brooklyn Park, MN, US 55445 Target Tech Full-time $128,000 - $231,000 USD annually Apply
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7000 Target Pkwy N, Brooklyn Park, MN, US 55445 Target Tech Full-time $128,000 - $231,000 USD annually Job Id: R0000399762
The pay range is $128,000.00 - $231,000.00
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 LEAD DATA SCIENTIST - 1:1 PERSONALIZATION
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 Digital, 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, Ad Tech, Supply Chain Optimization, Forecasting, Search and Personalization rely on. Every Scientist on Target's Data Sciences team can expect modeling and applied data sciences of highly performant code for model performance to elevate Target's culture and apply retail domain knowledge.
About the role:
As a Lead Data Scientist on the Audience team with Target Data Sciences, you'll lead and drive the development of machine learning models that power one-to-one Personalization at scale. In this role, you will design, build, and deploy advanced models that deliver highly relevant, individualized experiences across Digital channels. You will collaborate with cross-functional partners in Product, engineering, marketing and data analytics to define strategy, lead experimentation and ensure that personalization drives measurable impact for our guests and business.
In this role as a Lead Data Scientist, you'll:
Model Development: Design, build, and optimize ML models for one-to-one personalization, including recommendation systems, ranking models, customer propensity models, and reinforcement learning approaches Leadership and Strategy: Provide technical leadership to a team of data scientists and engineers, setting the vision and roadmap for personalization Experimentation and Measurement: Develop testing frameworks (A/B, multi-armed bandits, causal inference) to rigorously measure the impact of personalization initiatives Collaboration: Partner closely with product managers, engineers, and business stakeholders to translate business problems into data science solutions Scalability and Deployment: Ensure models are production-ready, scalable, and integrated into digital platforms with high reliability and performance Innovation: Stay current on advances in ML/AI (deep learning, embeddings, transformers, LLM's, reinforcement learning) and evaluate their application for personalization use cases 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 or PhD in quantitative disciplines - Computer Science, Applied Mathematics, Statistics, Physics or related quantitative industry experience 5+ years of applied data sciences experience, preferably with 3+ years of experience in large scale 1:1 personalization Proficient in one or more programming language - Python, R, Java or Scala Demonstrated experience building and deploying ML models in production environments Extensive experience in algorithm design, data structures, testing/measurement and ML Ops (GCP - Vertex AI, BigQuery, Spark, Databricks, Snowflake, etc.) Strong background in Machine Learning with hands-on experience in Personalization, NLP, and/or Deep Learning frameworks (TensorFlow, PyTorch, Scikit-learn) Excellent verbal and written communication skills with an ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Collaborative team player with ability to partner 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_E 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 : 09/18/2025
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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 LEAD DATA SCIENTIST - 1:1 PERSONALIZATION
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 Digital, 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, Ad Tech, Supply Chain Optimization, Forecasting, Search and Personalization rely on. Every Scientist on Target's Data Sciences team can expect modeling and applied data sciences of highly performant code for model performance to elevate Target's culture and apply retail domain knowledge.
About the role:
As a Lead Data Scientist on the Audience team with Target Data Sciences, you'll lead and drive the development of machine learning models that power one-to-one Personalization at scale. In this role, you will design, build, and deploy advanced models that deliver highly relevant, individualized experiences across Digital channels. You will collaborate with cross-functional partners in Product, engineering, marketing and data analytics to define strategy, lead experimentation and ensure that personalization drives measurable impact for our guests and business.
In this role as a Lead Data Scientist, you'll:
Model Development: Design, build, and optimize ML models for one-to-one personalization, including recommendation systems, ranking models, customer propensity models, and reinforcement learning approaches Leadership and Strategy: Provide technical leadership to a team of data scientists and engineers, setting the vision and roadmap for personalization Experimentation and Measurement: Develop testing frameworks (A/B, multi-armed bandits, causal inference) to rigorously measure the impact of personalization initiatives Collaboration: Partner closely with product managers, engineers, and business stakeholders to translate business problems into data science solutions Scalability and Deployment: Ensure models are production-ready, scalable, and integrated into digital platforms with high reliability and performance Innovation: Stay current on advances in ML/AI (deep learning, embeddings, transformers, LLM's, reinforcement learning) and evaluate their application for personalization use cases 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 or PhD in quantitative disciplines - Computer Science, Applied Mathematics, Statistics, Physics or related quantitative industry experience 5+ years of applied data sciences experience, preferably with 3+ years of experience in large scale 1:1 personalization Proficient in one or more programming language - Python, R, Java or Scala Demonstrated experience building and deploying ML models in production environments Extensive experience in algorithm design, data structures, testing/measurement and ML Ops (GCP - Vertex AI, BigQuery, Spark, Databricks, Snowflake, etc.) Strong background in Machine Learning with hands-on experience in Personalization, NLP, and/or Deep Learning frameworks (TensorFlow, PyTorch, Scikit-learn) Excellent verbal and written communication skills with an ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Collaborative team player with ability to partner 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_E 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 : 09/18/2025" }
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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
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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
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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
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Traceability & Transparency Audit Program
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Back to search results Home Careers Job Search
Lead Data Scientist - 1:1 Personalization and Custom Audience
7000 Target Pkwy N, Brooklyn Park, MN, US 55445 Target Tech Full-time $128,000 - $231,000 USD annually Apply
Save job
Remove saved job
7000 Target Pkwy N, Brooklyn Park, MN, US 55445 Target Tech Full-time $128,000 - $231,000 USD annually Job Id: R0000399762
The pay range is $128,000.00 - $231,000.00
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 LEAD DATA SCIENTIST - 1:1 PERSONALIZATION
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 Digital, 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, Ad Tech, Supply Chain Optimization, Forecasting, Search and Personalization rely on. Every Scientist on Target's Data Sciences team can expect modeling and applied data sciences of highly performant code for model performance to elevate Target's culture and apply retail domain knowledge.
About the role:
As a Lead Data Scientist on the Audience team with Target Data Sciences, you'll lead and drive the development of machine learning models that power one-to-one Personalization at scale. In this role, you will design, build, and deploy advanced models that deliver highly relevant, individualized experiences across Digital channels. You will collaborate with cross-functional partners in Product, engineering, marketing and data analytics to define strategy, lead experimentation and ensure that personalization drives measurable impact for our guests and business.
In this role as a Lead Data Scientist, you'll:
Model Development: Design, build, and optimize ML models for one-to-one personalization, including recommendation systems, ranking models, customer propensity models, and reinforcement learning approaches Leadership and Strategy: Provide technical leadership to a team of data scientists and engineers, setting the vision and roadmap for personalization Experimentation and Measurement: Develop testing frameworks (A/B, multi-armed bandits, causal inference) to rigorously measure the impact of personalization initiatives Collaboration: Partner closely with product managers, engineers, and business stakeholders to translate business problems into data science solutions Scalability and Deployment: Ensure models are production-ready, scalable, and integrated into digital platforms with high reliability and performance Innovation: Stay current on advances in ML/AI (deep learning, embeddings, transformers, LLM's, reinforcement learning) and evaluate their application for personalization use cases 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 or PhD in quantitative disciplines - Computer Science, Applied Mathematics, Statistics, Physics or related quantitative industry experience 5+ years of applied data sciences experience, preferably with 3+ years of experience in large scale 1:1 personalization Proficient in one or more programming language - Python, R, Java or Scala Demonstrated experience building and deploying ML models in production environments Extensive experience in algorithm design, data structures, testing/measurement and ML Ops (GCP - Vertex AI, BigQuery, Spark, Databricks, Snowflake, etc.) Strong background in Machine Learning with hands-on experience in Personalization, NLP, and/or Deep Learning frameworks (TensorFlow, PyTorch, Scikit-learn) Excellent verbal and written communication skills with an ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Collaborative team player with ability to partner 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_E 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 : 09/18/2025
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