About this opportunity
Nestlé IT lists this Sr. Data Scientist (Forecasting) opportunity in arlington, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
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
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Worksite address
arlington, VA, 22201, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.