Sr. Data Scientist (Forecasting)

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

Benefits offered by this job

401k with company match

Healthcare coverage

Performance-based incentives

Competitive total rewards package

Job summary

Nestlé IT & Digital Americas is seeking a Sr. Data Scientist (Forecasting) to design and deploy production-grade forecasting models for Nestlé USA Digital.

You will partner with Supply Chain Planning and Analytics to bring Agentic AI and GenAI into forecasting workflows, improving accuracy and decision-making. The role is onsite in Arlington, VA, focusing on scalable forecasting processes, KPI monitoring, and enablement across cross-functional stakeholders, including Marketing, Finance, and

Qualifications

• Bachelor’s degree in statistics, mathematics, economics, business, or related field.
• 5+ years of experience in data science, forecasting, or advanced analytics with SQL/Python.
• 3+ years deploying machine learning models in production (time series, regression, classification).

Responsibilities

• Design, develop, test, and deploy forecasting models in production.
• Build scalable forecasting pipelines with ML Ops practices.
• Embed GenAI and Agentic AI into forecasting workflows for accuracy and insights.
• Evaluate new AI/ML methods to increase accuracy and scalability across SKUs and data sources.
• Collaborate with Supply Chain Planning, Marketing, Finance, and Sales to align needs with solutions.
• Deliver training and forecast office hours to improve analytics literacy.

Skills

Forecasting

Data analytics

Communication

Education

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

Master’s degree preferred

Tools

SQL

Python

Power BI

Databricks

Snowflake

Microsoft Azure

Job description

Nestlé IT & Digital Americas is looking for a Sr. Data Scientist (Forecasting) to support Nestlé USA Digital through production-grade forecasting work. You will partner closely with Supply Chain Planning and Analytics teams to design and deploy statistical and machine learning models, while bringing Agentic AI and GenAI capabilities into forecasting workflows that improve accuracy and decision-making.

This onsite role is based in Arlington, VA and focuses on scalable forecasting processes, KPI monitoring, and enablement across cross-functional stakeholders.

What you’ll do

• Design, develop, test, and deploy statistical and machine learning forecasting models in production on cloud-based analytics platforms, emphasizing demand pattern recognition, algorithm selection, outlier correction, and parameter optimization to reduce bias and improve forecast accuracy.
• Build and maintain structured, programmatic forecasting pipelines that run at scale, using ML Ops practices to automate weekly forecast generation and reduce manual effort.
• Embed Agentic AI and GenAI into forecasting workflows to identify opportunities to improve accuracy, automate root cause analysis, and support insights generation and decision-making.
• Continuously evaluate and apply emerging AI/ML methods, including deep learning and probabilistic forecasting, to increase accuracy and scalability across a complex portfolio of SKUs, clusters, and data sources.
• Act as a liaison between technical and functional teams by partnering with Supply Chain Planning leads and collaborating with stakeholders across Marketing, Finance, and Sales to connect business needs with system and process solutions.
• Contribute to Enterprise Forecasting as part of the One Planning initiative and support Customer Order Fulfilment improvements with standardized, scalable, cross-functional forecasting solutions.
• Deliver training and forecast office hours to Supply Chain Planning users to build analytics literacy, increase adoption, and strengthen enterprise value.
• Create and enhance Power BI reports for forecast KPI monitoring and data validation, and present findings 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, including hands‑on experience with SQL, Python, or a similar language.
• 5+ years extracting, transforming, and analyzing large datasets, plus experience creating data visualizations to communicate insights.
• 3+ years deploying and maintaining machine learning models in production, including regression, classification, time series modeling, and feature engineering.

Tools and technologies

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

Compensation and benefits

• Salary: USD 110,000 - 160,000 per year
• 401k with company match
• Healthcare coverage
• Performance-based incentives
• Competitive total rewards package

Additional preferences

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