Sr Principal Data Scientist, Search and Recommendations

We are seeking an experienced Data Scientist / Senior Consultant to drive the science and strategy behind Ingram Micro’s global Search and Recommendation systems. The role partners closely with a diverse team of scientists, engineers, product leaders, and industry experts to build large‑scale models that meaningfully improve discovery, relevance, and commercial outcomes across an enterprise ecosystem. You will be responsible for the technical strategy, model development, experimentation, and production impact, delivering measurable improvements to the performance of search and recommendation engines worldwide. The role is hands‑on and high‑visible requiring deep technical expertise and the ability to communicate complex concepts to non‑technical audiences. Scope Own multi-quarter technical development, vision, and roadmap for search, ranking, personalization, discovery, and recommendation systems. Engage with a globally distributed team of Data Scientists and AI/ML Engineers Be accountable for model quality, experimentation rigor, and production impact Influence platform, tooling, and architecture decisions in partnership with science, engineering, and business leadership Qualifications Master’s or Ph.D. in a quantitative field (Computer Science, Data Science, AI, Statistics, Applied Math, Engineering, Economics, or similar technical fields) 10+ years functional experience including a minimum of 5+ years position specific experience in search, recommendation, information retrieval, or personalization at scale Track record of owning production search or recommendation systems with measurable business impact Hands‑On Technical Ownership Expertise in developing and leading the deployment of enterprise level Search Algorithms and Recommendation Engines at global scale Develop model design for ranking, relevance, personalization, semantic retrieval Build applications leveraging LLMs, deep learning, transformers, generative AI, semantic search, vector databases, and RAG pipelines Design and interpret A/B tests and quasi‑experiments tied to business metrics Tools/stack experience: Python, SQL, Jupyter, R, Julia, SAS, MATLAB, etc… Experience with GCP (Big Query, VertexA, Gemini) strongly preferred Experience developing Search/Recommendation Agents is a plus Work with large‑scale behavioral, content, and transactional datasets to solve highly ambiguous problems Organizational & Technical Leadership Partner with and mentor mid- and senior -level scientists Set bar for modeling excellence, experimentation discipline, production readiness Promote reusable ML platforms and standardization over one‑off solutions Serve as an executive-facing authority on search and recommendation science Stakeholder & Business Leadership Translate ambiguous business problems into scalable AI and ML solutions Communicate technical models, engines, systems to non-technical stakeholders Partner with Product, Engineering, and Business to balance near-term wins vs. long-term platform bets Success Metrics Sustained improvements in relevance, engagement, and conversion High-retention, high-performing ML team with strong internal mobility Systems that scale globally with reliability and defensible scientific rigor Measurable impact to financial results and customer experience #J-18808-Ljbffr