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

Job DescriptionJOIN TARGET AS A LEAD DATA SCIENTIST – SEARCH AND BROWSEAbout UsAs 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. At our core, our purpose is ingrained in who we are, what we value and how we work. Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation.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.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.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 extractionConduct data analysis to identify opportunities and improve modelsConduct research to advance machine learning and NLP technologiesContribute to the operations/building of AI pipelinesAdopt Target's infrastructural platforms and operationalize tools and systemsMentor and partner with other engineers to develop software that meets business needsFollow agile methodology for software development and technical documentationKeep 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 You4-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 PointsPhD 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 scaleThis position may be considered for a Remote or Hybrid work arrangement based on Target's needs. Application deadline is : 07/31/2024

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