Sr. Data Scientist (Forecasting)

Sr. Data Scientist (Forecasting) will help Nestlé USA Digital deliver production forecasting capabilities by partnering with Supply Chain Planning and Analytics teams.

Responsibilities

• Design, build, test, and deploy statistical and machine learning forecasting models in production on cloud-based analytics platforms
• Improve forecast performance through demand pattern recognition, algorithm selection, outlier correction, and parameter optimization to reduce bias and increase accuracy
• Create and maintain structured, programmatic forecasting processes that run at scale, leveraging ML Ops to automate weekly forecast generation and reduce manual effort
• Embed Agentic AI and GenAI into forecasting workflows to surface accuracy improvement opportunities, automate root cause analysis, and support insights and decisions
• Evaluate and apply emerging AI/ML methods including deep learning and probabilistic forecasting to improve accuracy and scalability across a portfolio of SKUs, clusters, and data sources
• Act as a liaison between technical and functional teams, partnering with Supply Chain Planning leads and stakeholders across Marketing, Finance, and Sales to align business needs with solutions
• Support Enterprise Forecasting initiatives through the One Planning program, including work that enables standardized, scalable, cross-functional forecasting solutions
• Deliver training and forecast office hours for Supply Chain Planning users to build analytics literacy and promote adoption
• Build and enhance Power BI dashboards for forecast KPI monitoring and data validation; communicate results using 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

Preferred

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

Technologies

• SQL, Python, Power BI, PowerPoint
• ML Ops
• Databricks, Snowflake, Microsoft Azure
• GenAI, Agentic AI
• Deep learning, probabilistic forecasting

Job Details

• Location: Arlington, VA (onsite)
• Salary: USD 110,000 - 160,000 per year
• Minimum experience: 3 years

Benefits

• 401k with company match
• Healthcare coverage
• Performance-based incentives
• Competitive total rewards package