Sr Principal Data Scientist, Search and Recommendations
Core
Drive the science and strategy behind global Search and Recommendation systems to improve discovery, relevance, and commercial outcomes for an enterprise ecosystem.
Role type
Sr Principal Data Scientist (Search & Recommendations)
Builds
Large-scale search, ranking, personalization, and recommendation engines
Domain
Enterprise IT sales channel / Global Search & Recommendation
Deliverable
production ML models
Required skills
Search algorithms, ranking models, personalization, information retrieval, LLMs, deep learning, transformers, generative AI, semantic search, vector databases, RAG pipelines, A/B testing, experimental design, Python, SQL, statistical analysis
Preferred skills
GCP (BigQuery, VertexAI, Gemini), Search/Recommendation Agents
Technologies
Python, SQL, Jupyter, R, Julia, SAS, MATLAB, GCP, BigQuery, VertexAI, Gemini
Responsibilities
Own multi-quarter technical development and roadmap for search and recommendation systems; Develop model design for ranking, relevance, and semantic retrieval; Design and interpret A/B tests tied to business metrics; Partner with and mentor mid- and senior-level scientists; Translate ambiguous business problems into scalable AI and ML solutions
Seniority
Sr Principal, hands-on IC with strategic leadership