Sr Principal Data Scientist, Search And Recommendations

INGRAM MICRO

Irvine, CA, United States
Base: $158,900.00 - $270,100.00 py; bonus/equity: ...
Large-scale models
Search algorithms
Recommendation engines
Drive the science and strategy behind Ingram Micro’s global Search and Recommendation systems, building large-scale models to improve discovery, relevance, and commercial outcomes

Job Summary

  • Drive the science and strategy behind Ingram Micro’s global Search and Recommendation systems, building large-scale models to improve discovery, relevance, and commercial outcomes.
  • Own multi-quarter technical development, vision, and roadmap for search, ranking, personalization, discovery, and recommendation systems, influencing platform and architecture decisions.
  • Partner with Product, Engineering, and Business to translate ambiguous business problems into scalable AI and ML solutions and communicate technical models to non-technical stakeholders.

Matching Summary

Drive the science and strategy behind Ingram Micro’s global Search and Recommendation systems, building large-scale models to improve discovery, relevance, and commercial outcomes.

Salary

Base: $158,900.00 - $270,100.00 per year; Bonus/Equity: Eligible for annual bonus or sales incentives and long-term incentives; Benefits: Healthcare, PTO, parental leave, 401(k) with match, disability, life insurance, wellbeing benefits

Skills & Requirements

Must-have

  • Large-scale models
  • Search algorithms
  • Recommendation engines
  • LLMs and deep learning
  • Vector databases and RAG pipelines
  • A/B testing and experimentation

Nice-to-have

  • Mentoring mid- and senior-level scientists
  • Executive-facing authority
  • Balancing near-term vs. long-term bets
  • Developing Search/Recommendation Agents

Key Requirements

  • Master's or Ph.D. in a quantitative field
  • 10+ years functional experience
  • Minimum 5+ years position specific experience
  • Track record of owning production systems
  • Expertise in enterprise level Search Algorithms
  • Expertise in Recommendation Engines at global scale
  • Experience with GCP (Big Query, Vertex AI, Gemini)

Work Rights

Not specified

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