Job Description

The Search and Browse Data Science team builds the core relevance engine and Data Science products that power Targets digital experience. As a Sr Data Scientist on this product youll work with business partners to provide solutions for business problems in a fast-paced and global environment. Youll have the opportunity to design quality, flexible and performant Data Science systems and services at scale. Youll also architect Data Science solutions that capture, process and mine huge datasets in the retail industry. Well also promote innovative thinking as well as the opportunity to utilize cutting-edge machine learning algorithms and NLP techniques to improve our Mobile and Web Search systems at Target! In this role at Target as a Lead Data Scientist, youll: Develop and deploy scalable deep learning models to improve the search experience of Target guests Architect and implement large-scale AI systems using test-driven development practices Build NLP technology for query and document analysis, processing, and understanding Create data pipelines for feature/label extraction and generation Conduct data analysis to identify opportunities and improve models Conduct research to advance the state-of-the-art machine learning and NLP technologies Contributing to the operations/building of AI pipelines Adopting Target's infrastructural platforms and operationalize tools and systems around them Mentor and partner with other engineers to develop software that meets business needs Follow agile methodology for software development and technical documentation Innovate constantly and keep systems up to date with current technologies What we're looking for: MS or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, or related field Research or industrial experiences in relevant fields, such as information retrieval, machine learning, NLP, or recommendation systems 8+ years of experience in deploying machine learning algorithms into production environments. Proficient in Python or Java with Strong coding and problem-solving skills Solid modeling skills in Python Good understanding of search indexing, retrieval, and ranking Extensive experience in implementing and integrating ML models in production with high traffic Experience querying large databases with SQL, HQL, or some variations Experience with Semantic Search is a plus. Experience in Tuning LLMs is plus. Proven track record of achieving significant engineering or academic results. Excellent interpersonal and communication skills to work with global teams .