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 – 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 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, Search and Personalization rely on.   

Every scientist on Target’s Data Sciences team can expect to do modeling and data science, develop software/product with highly performant code, elevate Target’s culture, and apply retail domain knowledge.

As a Lead Data Scientist - Recommendations, you will join a data science team responsible for building and maintaining Target’s digital recommendations and personalization. Working closely with engineers, product managers, and other business partners, you will design and implement algorithmic solutions to a variety of recommendation-based problems. You will own every step of the process, including data discovery, feature engineering, model development, validation and testing, and deployment to real-time and batch production environments. In the process, you will adhere to the best practices established by the team, including engineering standards, code organization and review, and an agile working environment. Through collaboration with product managers and business partners you will understand the value of your work in order to best optimize and subsequently advocate for its use. Additionally, you will lead the team by sharing your technical and business acumen, mentor junior team members, and collaborate with other technical contributors across different business areas to promote the general maturation of Target’s scientific capabilities.

Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

About you:

PhD or MS in quantitative disciplines (Science, Tech, Engineering, Mathematics) or equivalent industry work experienceSignificant experience with Deep Learning (PyTorch, TensorFlow) and traditional Machine Learning including model architecture and optimization to fit system constraintsStrong hands-on programming skills in Python, SQL and SparkGreat at rapid iteration; self-driven and results oriented; able to meet tight timelinesStrong analytical thinking skills with an ability to creatively solve business problems, innovating new approaches where requiredExperience with unit testing, CI/CD, scalable modeling, and engineering best practicesExcellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs and narrativesStrong team player with ability to collaborate effectively across geographies/time zones

Preferred:

Experience with recommender systemsExperience with vector stores

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 : 03/27/2025