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Lead Data Scientist
2 months ago
Target is a Fortune 50 company with over 350,000 team members worldwide, operating as one of America's leading retailers. Our global in-house Tech team consists of more than 5,000 software engineers, applied data scientists, architects, and product managers working together to make Target the most convenient, safe, and joyful place to shop.
Job SummaryWe are seeking a Lead Data Scientist to join our Search and Browse Applied Data Science team. As a key member of this team, you will work with business partners to provide solutions for business problems in a fast-paced and global environment. You will design quality, flexible, and performant Data Science systems and services at scale, architect Data Science solutions that capture, process, and mine huge datasets in the retail industry, and promote innovative thinking while using cutting-edge machine learning algorithms and NLP techniques to improve our Mobile and Web Search systems.
Key Responsibilities- Develop and deploy scalable deep learning models to improve the search experience of 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
- Contribute to the operations/building of AI pipelines
- Adopt 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
- 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
- MS/PhD in Computer Science, Applied Mathematics, Statistics, Physics, or equivalent work or industry experience
- Research and/or demonstrated industry experiences in Search Indexing, Information Retrieval, Ranking, as well as NLP, LLMs, or Recommendation Systems
- 5+ years of experience in deploying machine learning algorithms into production environments
- Proficient in Python or Java with excellent coding and problem-solving skills
- Exceptional hands-on modeling skills using Python
- Extensive experience in implementing and integrating ML models in production with high traffic and scale
- Experience querying large databases with SQL, HQL, or some variation
- Excellent interpersonal and communication skills that can partner with a global team
- Constant learner mentality that stays on the leading edge of Search/Ranking, ML, and NLP advancements
- PhD in Computer Science, Applied Mathematics, Statistics, Physics, or related quantitative field
- Proven record of achieving significant engineering (applied ML) or academic research in Search/Ranking
- Experience with Solr at scale