Data Scientist - Search and Browse (NLP, Applied ML, LLM's)

The pay range is $72,100.00 - $155,800.00Pay 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 US AS A DATA SCIENTIST – SEARCH and BROWSE (APPLIED ML, NLP, LLMs)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. Every Scientist on Target’s Data Sciences teams can expect data modelling, software/product development of highly performant code for model performance to elevate Target’s culture and apply retail domain knowledge. Whether you join our Search (Ranking, Query Understanding and Information Retrieval), Personalization/Recommendations, Generative AI, Demand Forecasting, Supply Chain Optimization or Machine Learning teams - you’ll be challenged to harness Target’s impressive data breadth to partner and build the algorithms that power solutions our teams in Roundel/Ad Tech, Marketing, Supply Chain, Merch and Target.com/Mobile rely on daily!Our Search team builds the core relevance engine that power Target’s digital experience on target.com and mobile. As a Data Scientist in this Search and Browse team, you’ll influence by interacting within the applied Data Sciences team, perform within the scale and scope of your role by implementing solutions, and contribute to Target’s 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 in applied ML, 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 and tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Python, R, Java) 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, document and present work to peers as well as participate in code reviews and gain broader understanding of different components within the application. The exciting part of retail and AI/ML? It’s always changing and you get to work at scale!Core responsibilities of this job are described 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 work experience• Exceptional fundamentals in Probability, Statistics, Linear Algebra and Machine Learning modeling• Research and/or industry experiences in relevant fields such as Information Retrieval, Natural Language Processing (NLP) or Recommendation/Recommender systems• Strong analytical thinking skills with an ability to creatively solve business problems, innovating new approaches where required• Demonstrated foundations in hands-on programming skills in Python, R or Java (data structures, design principles, testing) and applied ML• Experience querying large databases with SQL, HQL or some variations• Passion for solving interesting and relevant real-world problems using a data science and ML approaches• Able to produce reasonable documents/narrative suggesting actionable insights• Excellent communication skills and ability to clearly tell data driven stories through appropriate visualizations, graphs and narratives• Self-driven and results oriented team player with ability to collaborate effectively across geographies/time zones and global teamThis 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 or Sunnyvale 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.Americans with Disabilities Act (ADA)Target will provide reasonable accommodations with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Supply Chain Facility or reach out to Guest Services at 1-800-440-0680 for additional information.