Applied Data Scientist Search Ranking

Target

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profile Job Location:

Brooklyn Park, MN - USA

profile Monthly Salary: $ 75400 - 162800
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

The pay range is $75400.00 - $162800.00

Pay is based on several factors which vary based on include labor markets and in some instancesmay include education work experience and 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 DATA SCIENTIST - SEARCH

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 at scale to automateand optimize decisions at scale. Whether you join our Statistics Optimization 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 Optimization Network Security 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 a Data Scientist youll Influence by interacting within the Data Sciences team perform within the scale and scope of your role by implementing solutions and contribute to Data Sciences and Targets culture by modeling the culture. Through your understanding of the foundations and working principles of machine learning algorithms linear algebra probability theory statistics and optimization theory you will perform data exploration and analysis (look at distributions find anomalies create simple visualizations etc.) and implement algorithmic solution given specifications while adhering to best practices in model development. We will look to you to understand and actively follow foundational programming principles (best practices know about unit tests code organization basics of CI/CD etc.) and create a well-maintainable & tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java Scala Python R) and learn and adhere to best practices in data analysis and data understanding.

As you follow agile processes you will implement prototypes for individual components of software or data science solutions and understand and leverage basic data structures and algorithms in implementing solutions. Leverage your high-level understanding in business domain to gain knowledge of high-level Target business priorities strategic goals and their impact as well as details of the specific business sub-problem you are focused on. You will collaborate with peers on their product and document and present work to peers and participate in code reviews and gain broader understanding of different components within the application. The exciting part of retail Its always changing!

Core responsibilities of this job are described within this 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
  • Exceptional Python programming experience with advanced technical problem-solving skills
  • 1 plus year of experience implementing end to end ML models and algorithms into production
  • Knowledge of search indexing ranking information retrieval query understanding or recommendation / recommender systems
  • Experience deploying Machine Learning algorithms into production environments
  • Experience with ML Ops (VetexAI Bigquery etc.) and various testing frameworks and containerization (Docker Kubernetes etc.)
  • Experience querying large databases with SQL HQL or some variations
  • Excellent interpersonal and communication skills that can partner with a global teams
  • Constant learner mentality that stays on the leading edge of search ranking applied ML LLMs and NLP advancements

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 Non-accommodation-related requests such as application follow-ups or technical issues will not be addressed through this channel.

Application deadline is : 04/30/2026

Required Experience:

IC

The pay range is $75400.00 - $162800.00Pay is based on several factors which vary based on include labor markets and in some instancesmay include education work experience and 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...
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About Company

Target

1234 employees

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Target Corporation is an American retail corporation. The eighth-largest retailer in the United States, it is a component of the S&P 500 Index.

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