Data Science Manager

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 developing data-driven recommendations
• 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 scientists working on a variety of projects simultaneously within a matrix organization

 

Other

• Master’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a similar field
• Experience with ML Ops practices, cloud and AI/ML platforms (Databricks, Snowflake, Microsoft Azure), GenAI solutions, GitHub, and Microsoft Power BI is preferred 
• Experience in consumer goods preferred

 

Don’t meet all the qualifications listed under “other”? These are preferred, but not required. When you apply for a role with Nestlé Purina, we ensure that individual confidentiality is held to the highest regard. We are intentional about creating an inclusive workplace for everyone. We consider our associates our most valuable assets. Please apply for full consideration.

 

Salary: $166,883.40 to $205,989.15  per year

 

Bonus Eligibility: Yes

 

The pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location. It is not typical for an individual to be hired at top of range.

 

Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Incentives and/or benefit packages may vary depending on the position. Learn more at https://www.nestlejobs.com/nestle-in-the-us-benefits 

 

It is our business imperative to remain a very inclusive workplace.
 
To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you’ll join a cohort of others who have chosen to call Nestlé home.
 

The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.

 

This position is not eligible for Visa Sponsorship. 

 

Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy.

 

Job Requisition: 424379