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 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.
