Sr Data Scientist - Recommendations (applied ML, recommender systems, PyTorch)
Sr Data Scientist - Recommendations (applied ML, recommender systems, PyTorch)
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$ 95000 - 171000
1 Vacancy
Job Description
Pay is based on several factors which vary based on include labor markets and in some instancesmay 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 benefits for eligible team members include 401(k) employee discount short term disability long term disability paid sick leave paid national holidays and paid competitive benefits from financial and education to well-being and beyond at 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 withTargetData Sciencesmeans the chance to help develop and managestate of the art predictivealgorithmsthatuse data to automateand optimize decisions at scale. Whether you join our Data Sciences or Machine Learning teams youll be challenged to harness Targets impressive data breadth to build the algorithmsthat power solutions our partners in Marketing Supply Chain Demand Forecasting Search and Personalization rely on.
Every Scientist on Targets Data Sciences team can expect modeling and data science software/product development of highly performant code for Model Performance to elevate Targets culture and apply retail domain knowledge.
As aSr Data Scientist youll 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 youll 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 youll 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 or MS in Computer Science Applied Mathematics Physics Data Sciences or relevant industry experience
- 3 years of professional experience or equivalent industry experience with recommender systems
- Experience designing and developing deep learning machine learning optimization and statistical models
- Strong hands-on programming skills in Python and extensive experience with SQL Hadoop/Hive PySpark and/or Scala
- 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
- Strong 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 Targets needs. A Hybrid/Flex for Your Day work arrangement means the team members 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: 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 : 06/26/2025Required Experience:
Senior IC
Employment Type
Full-Time
