About this opportunity
Ingram Micro, Inc. lists this Sr Principal Data Scientist, Search and Recommendations opportunity in irvine, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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
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Worksite address
irvine, CA, 92713, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.