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Sr Applied Data Scientist - Personalization (applied ML, PyTorch, RecSys)Target • United States
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Sr Applied Data Scientist - Personalization (applied ML, PyTorch, RecSys)

Target
  • US
    United States
  • US
    United States
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About

The pay range is $98,000.00 - $176,000.00
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 (RecSys)
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 (https://corporate.target.com/about) .
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 Applied 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 Digital Marketing, Supply Chain Optimization, Advanced AI, Search and Personalization/RecSys rely on.
As a Sr Data Scientist, you’ll work on the Target Data Science Recommendations team collaborating with 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 perform data exploration and analysis, implement algorithmic solutions given specifications, push solutions to our production environment, and analyze performance and trade-offs. 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 and 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
:
MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research or relevant work experience
3 plus years of experience developing machine learning models using deep learning frameworks such as PyTorch or JAX
Experience building recommendation, personalization, search, ranking or retrieval systems at scale
Strong programming skills in Python and SQL
Demonstrated experience with optimization, statistics, probability and experimental design
Experience evaluating models through offline analysis on large-scale datasets and online experimentation, including statistical analysis and interpretation of results
Knowledge of large-scale data processing and analytics platforms such as Spark
Extensive experience leveraging generative AI tools to accelerate development, experimentation and model delivery
Ability to communicate complex technical concepts and results to both technical and non-technical audiences
Demonstrated ability to translate business problems into scalable data science solutions
Self-driven, results-oriented and able to meet tight deadlines
Motivated team player who thrives in a collaborative - global environment
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 (https://corporate.target.com/about/locations/Target-in-the-Twin-Cities) 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.
  • United States

Languages

  • English
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