Sr Principal Data Scientist, Search and Recommendations

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Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population we play a vital role in the worldwide IT sales channel bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts. Our market reach diverse solutions and services portfolio and digital platform Ingram Micro Xvantage set us apart. Learn more at

Come join our team where youll make technology happen in surprising ways. Lets shape tomorrow - itll be a fun journey!

We are seeking an experienced Data Scientist / Senior Consultant to drive the science and strategy behind Ingram Micros global Search and Recommendation systems. The role partners closely with a diverse team of scientists engineers product leaders and industry experts to build largescale 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 handson and highvisible requiring deep technical expertise and the ability to communicate complex concepts to nontechnical 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

• Masters 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 quasiexperiments 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 largescale 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 oneoff 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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The ranges above reflect the potential annual base pay across the U.S. for all roles; the applicable base pay range will depend on the candidates primary work location pay grade and variable compensation plan. Individual base pay within each range depends on various factors in addition to primary work location such as complexity and responsibility of role job duties/requirements and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time of hire. New hires starting base pay generally falls in the bottom half (between the minimum and midpoint) of a pay range.

At Ingram Micro certain roles are eligible for additional rewards including merit increases annual bonus or sales incentives and long-term incentives. These awards are allocated based on position level and individual performance. U.S.-based employees have access to healthcare benefits paid time off parental leave a 401(k) plan and company match short-term and long-term disability coverage basic life insurance and wellbeing benefits among others.

This is not a complete listing of the job duties. Its a representation of the things you will be doing and you may not perform all these duties.

Please be prepared to pass a drug test and successfully pass a pre-employment (post offer) background check.

Ingram Micro Inc. is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability age veteran status or any other protected category under applicable law.