Job description

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 Sr. Data Scientist supporting Nestlé USA Digital, where you'll partner with the Supply Chain Planning team and the Analytics team to build the forecasting solutions that power how Nestlé USA plans and operates at scale. You'll design and deploy production-grade forecasting models, embed AI into how forecasts get delivered, and serve as a key liaison between the technical and functional sides of Enterprise Forecasting. You'll bring a strong AI mindset, curiosity about emerging technologies, and comfort operating in ambiguity as the forecasting landscape evolves. • Design, develop, test, and deploy statistical and machine learning forecasting models in production on cloud-based analytics platforms, with a focus on demand pattern recognition, algorithm selection, outlier correction, and parameter optimization to drive forecast accuracy and bias reduction • Build and maintain structured, programmatic forecasting processes that deliver at scale, leveraging ML Ops practices to automate weekly forecast generation and reduce manual effort • Embed Agentic AI and GenAI capabilities into forecasting workflows to identify accuracy improvement opportunities, automate root cause analysis, and support insights generation and decision-making • Continuously explore and apply emerging AI/ML techniques such as deep learning and probabilistic forecasting to improve forecast accuracy and scalability across a complex portfolio of SKUs, clusters, and data sources • Serve as a liaison between technical and functional teams, partnering with Supply Chain Planning leads and cross-functional stakeholders across Marketing, Finance, and Sales to align business needs with system and process solutions • Advance Enterprise Forecasting as part of the One Planning initiative and support Customer Order Fulfilment improvements, enabling standardized, scalable, and cross-functional forecasting solutions across the organization • Deliver training and forecast office hours to Supply Chain Planning users to build analytics literacy, promote adoption, and increase enterprise value • Create and enhance Power BI reports for forecast KPI monitoring and data validation, and present findings through data visualization and PowerPoint tailored to the audience Requirements • Bachelor's degree in statistics, mathematics, economics, business, or a related field • 5+ years of experience in data science, forecasting, or advanced analytics, with hands-on experience in SQL, Python, or a similar language • 5+ years of experience extracting, transforming, and analyzing large datasets, and creating data visualizations to communicate insights • 3+ years of experience deploying and maintaining machine learning models in production, including regression, classification, time series modeling, and feature engineering Other • Master's degree in statistics, mathematics, economics, business, or a related discipline is preferred • Experience with ML Ops practices, cloud and AI/ML platforms (Databricks, Snowflake, Microsoft Azure), GenAI solutions, and Microsoft Power BI is preferred • Experience supporting enterprise-scale transformation or Supply Chain planning initiatives in an Agile environment is preferred Don't meet all the qualifications listed under "other"? These are preferred, but not required. When you apply for a role with Nestlé, 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. The approximate pay range for this position is $110,000 to $160,000 per year. Please note that 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. 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 nestlejobs.com . 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 nestlejobs.com . Job Requisition: 413481

Requirements

Must-haves

Build and maintain structured, programmatic forecasting processes that deliver at scale, leveraging ML Ops practices to automate weekly forecast generation and reduce manual effort
Embed Agentic AI and GenAI capabilities into forecasting workflows to identify accuracy improvement opportunities, automate root cause analysis, and support insights generation and decision-making
Continuously explore and apply emerging AI/ML techniques such as deep learning and probabilistic forecasting to improve forecast accuracy and scalability across a complex portfolio of SKUs, clusters, and data sources
Deliver training and forecast office hours to Supply Chain Planning users to build analytics literacy, promote adoption, and increase enterprise value
Create and enhance Power BI reports for forecast KPI monitoring and data validation, and present findings through data visualization and PowerPoint tailored to the audience
Bachelor's degree in statistics, mathematics, economics, business, or a related field
5+ years of experience in data science, forecasting, or advanced analytics, with hands-on experience in SQL, Python, or a similar language
5+ years of experience extracting, transforming, and analyzing large datasets, and creating data visualizations to communicate insights
3+ years of experience deploying and maintaining machine learning models in production, including regression, classification, time series modeling, and feature engineering
It is our business imperative to remain a very inclusive workplace.
Job Requisition: 413481

Nice-to-haves

Master's degree in statistics, mathematics, economics, business, or a related discipline is preferred
Experience with ML Ops practices, cloud and AI/ML platforms (Databricks, Snowflake, Microsoft Azure), GenAI solutions, and Microsoft Power BI is preferred
Experience supporting enterprise-scale transformation or Supply Chain planning initiatives in an Agile environment is preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlsqlpythonazureagile

Platform: successfactors
Effort: medium

Benefits

Benefits detected in the listing.

401k