Global Lead, Search & Recommendation Systems AI

Ingram Micro; Irvine (CA); On-site; USD 159,000 - 270,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Parental leave

401(k) plan with company match

Disability coverage

Life insurance

Wellbeing benefits

Job summary

Ingram Micro is seeking a Data Scientist / Senior Consultant to drive the science and strategy behind global Search and Recommendation systems. You will own the technical strategy, model development, experimentation, and production impact for discovery and relevance across the enterprise ecosystem.

You will lead multi-quarter development with a globally distributed team, mentor scientists, and communicate complex concepts to non-technical stakeholders.

Qualifications

• Master’s or Ph.D. in a quantitative field (CS, DS, AI, Statistics, Applied Math, Engineering, Economics, or similar).
• 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.

Responsibilities

• 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

Skills

Data storytelling

Experimentation

Production ML

Leadership

Education

Master's or Ph.D. in a quantitative field

Tools

Python

SQL

Jupyter

R

Julia

SAS

MATLAB

BigQuery

Vertex AI

Job description

Ingram Micro is seeking a Data Scientist / Senior Consultant to drive the science and strategy behind global Search and Recommendation systems. You will own the technical strategy, model development, experimentation, and production impact for discovery and relevance across the enterprise ecosystem.

You will lead multi-quarter development with a globally distributed team, mentor scientists, and communicate complex concepts to non-technical stakeholders.