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Target

Lead Data Scientist - Search (NLP, Information Retrieval, Query, Applied ML)(Rem

Target, Brooklyn Park, Minnesota, United States,


JOIN TARGET AS A LEAD DATA SCIENTIST – SEARCH AND BROWSEAbout Us:As a Fortune 50 company with more than 350,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, develop talent by creating growth opportunities and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value and how we work. It’s how we care, grow, and win together. Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities.Join our global in-house Tech team of more than 5,000 software engineers, applied data scientists, architects and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests. We do so with a focus on diversity and inclusion, experimentation and continuous learning.The Search and Browse Applied Data Science team builds the core relevance engine and Data Science products that power Target’s Digital experience. As a Lead Data Scientist on this product – you’ll work with business partners to provide solutions for business problems in a fast-paced and global environment. You’ll have the opportunity to design quality, flexible and performant Data Science systems and services at scale. You’ll also architect Data Science solutions that capture, process and mine huge datasets in the retail industry. We’ll also promote innovative thinking as well as the opportunity to use cutting-edge machine learning algorithms and NLP techniques to improve our Mobile and Web Search systems!In this role at Target as

a Lead Data

Scientist, you’ll:Develop and deploy scalable deep learning models to improve the search experience of guestsArchitect and implement large-scale AI systems using test-driven development practicesBuild NLP technology for query and document analysis, processing, and understandingCreate data pipelines for feature/label extraction and generationConduct data analysis to identify opportunities and improve modelsConduct research to advance the state-of-the-art machine learning and NLP technologiesContributing to the operations/building of AI pipelinesAdopting Target's infrastructural platforms and operationalize tools and systems around themMentor and partner with other engineers to develop software that meets business needsFollow agile methodology for software development and technical documentationInnovate constantly and keep systems up to date with current technologiesCore 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 experienceMS/PhD in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experienceResearch and/or demonstrated industry experiences in Search Indexing, Information Retrieval, Ranking as well as NLP, LLMs or Recommendation Systems5+ years of experience in deploying machine learning algorithms into production environmentsProficient in Python or Java with excellent coding and problem-solving skillsExceptional hands-on modeling skills using PythonExtensive experience in implementing and integrating ML models in production with high traffic and scaleExperience querying large databases with SQL, HQL, or some variationExcellent interpersonal and communication skills that can partner with a global teamConstant learner mentality that stays on the leading edge of Search/Ranking, ML and NLP advancementsBonus Points:PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative fieldProven record of achieving significant engineering (applied ML) or academic research in Search/RankingExperience with Solr at scaleAmericans 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.Application deadline is: 07/31/2024#J-18808-Ljbffr