Senior Forecasting Data Scientist — ML Ops & GenAI

Nestlé IT & Digital Americas; Arlington (VA); On-site; USD 110,000 - 160,000; Full time

Job summary

Nestlé IT & Digital Americas in Arlington, VA is seeking a senior data scientist specialized in forecasting to design, develop, and deploy statistical and ML models in production on cloud analytics platforms. You will drive accuracy and automation across a broad SKU portfolio.

You will partner with Supply Chain Planning and cross-functional teams, advance Enterprise Forecasting initiatives, and build analytics literacy through training and office hours.

Qualifications

• Bachelor's degree in statistics, mathematics, economics, business, or related field.
• 5+ years of experience in data science, forecasting, or advanced analytics, with hands-on experience in SQL, Python, or a similar language
• 3+ years of experience deploying and maintaining machine learning models in production, including regression, classification, time series modeling, and feature engineering

Responsibilities

• 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

Skills

SQL

Python

Data visualization

Forecasting

Education

Bachelor's degree in statistics, mathematics, economics, business, or related field

Master's degree preferred in statistics, mathematics, economics, business, or related discipline

Tools

Power BI

Databricks

Snowflake

Azure

GenAI solutions

Job description

Nestlé IT & Digital Americas in Arlington, VA is seeking a senior data scientist specialized in forecasting to design, develop, and deploy statistical and ML models in production on cloud analytics platforms. You will drive accuracy and automation across a broad SKU portfolio.

You will partner with Supply Chain Planning and cross-functional teams, advance Enterprise Forecasting initiatives, and build analytics literacy through training and office hours.