Sr. Data Scientist (Forecasting)

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

Job summary

Nestlé IT in Arlington, VA seeks a Senior Data Scientist (Forecasting) to drive production forecasting by partnering with Supply Chain Planning and Analytics teams. You will design, deploy, and optimize forecasting models, embed GenAI into workflows, and deliver scalable solutions on cloud platforms.

Requirements include 5+ years in data science/forecasting with SQL/Python and strong analytics fundamentals. This role is onsite in Arlington with a competitive salary and benefits package.

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 SQL and Python.
• 3+ years deploying and maintaining machine learning models in production.

Responsibilities

• Design, build, test, and deploy statistical and ML forecasting models in production on cloud platforms.
• Improve forecast performance through pattern recognition, algorithm selection, and parameter optimization.
• Create and maintain scalable forecasting processes using ML Ops.
• Embed GenAI and Agentic AI into forecasting workflows to surface improvements and automate analysis.
• Evaluate deep learning and probabilistic forecasting methods to scale 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 enable analytics literacy.
• Build and enhance Power BI dashboards for KPI monitoring and data validation.

Skills

Data science

Forecasting

SQL

Python

Power BI

ML Ops

Education

Bachelor's degree

Master's degree

Tools

Databricks

Snowflake

Microsoft Azure

GenAI

Job description

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