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Data Science Manager

Job in Arlington, Arlington County, Virginia, 22201, USA
Listing for: Nestlé S.A.
Full Time position
Listed on 2026-11-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 167000 - 206000 USD Yearly USD 167000.00 206000.00 YEAR
Job Description & How to Apply Below

As the digital arm for the world's largest food and beverage company, Nestlé IT & Digital Americas harnesses the power of data, analytics, and innovative technology to deliver transformative solutions and business resiliency for Nestlé businesses and iconic brands from Purina® to Nescafé®.We’re innovators, strategic collaborators, value multipliers, and digital business leaders committed to delivering results that create meaningful experiences and drive value, enabling Nestlé to win in the marketplace.

By joining, you become part of a 150-year legacy and a global team of 270,000+. We invest in our people—their growth, development, and sense of belonging. This shared unity and purpose is what motivates individuals to join, stay, and advance their careers within Nestlé.

This position is not eligible for Visa Sponsorship.

Position Summary

Join Nestlé IT & Digital as a Data Science Manager supporting Nestlé USA Digital. In this role, you’ll serve as an advanced analytics leader within Supply Analytics, bringing data science and AI expertise across Procurement, Manufacturing, and Supply Chain initiatives. You’ll lead the development and application of sophisticated, interconnected, and predictive analytics solutions that drive meaningful business impact and profitable growth across the enterprise.

You’ll also manage a team of five data scientists, overseeing solution delivery, day-to-day execution and prioritization, while supporting the team’s ongoing development and growth.

  • Lead team to deliver analysis, insights, predictions, and prescriptions using ML, AI, and other advanced analytics techniques, either through existing or new tools
  • Maintain and update existing tools needed for the ongoing execution of advanced analytics tools in these functions
  • Be single point of contact for advanced analytics needs across Procurement, Manufacturing, and Supply Chain
  • Accountable for testing and implementation of advanced analytics methods to derive insights that drive business growth and savings
  • Be a thought leader with functional partners in Procurement, Manufacturing, and Supply Chain leadership teams to understand the analytics needs of the functions and design solutions that meet business requirements
  • Work with IT & Digital Leadership and Functional Stakeholders to develop innovative, cross-functional solutions which comprehensively address the asks of the business and generate value for NUSA
  • Work with senior IT & Digital and Functional stakeholders to prioritize data science work and allocate resources across projects/tasks as appropriate
  • Collaborate with global and regional IT & Digital teams to ensure analytics solutions align with enterprise platforms and standards and support regional and global scaling, as needed
  • Ensure team builds solutions with security and resilience in mind: protect sensitive data, safeguard the critical business processes they support, and anticipate failure and misuse so solutions remain safe, trustworthy, and reliable in production
  • Drive IT & Digital and Functional priorities through rapid piloting and scaling of next gen analytics technologies
  • Incorporate the latest data science thinking into Operations Analytics solutions and models
  • Manage team of data scientists responsible for delivery of data science components of solutions / projects
  • Develop junior data science team resources by identifying growth opportunities, creating plans, and managing execution
Requirements
  • Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a similar field
  • 7+ years of experience using various programming languages to develop and apply advanced machine learning methods and algorithms to address business priorities
  • 2+ years of experience managing or mentoring data…
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