Position SummaryJoin 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 https://nestlejobs.com/nestle-in-the-us.
