HOW YOU WILL MAKE HISTORY HERE…
The Data Science Analyst plays a critical role in supporting the Demand Planning function by developing and enhancing advanced forecasting models. In this role, you will select optimal modeling approaches for different scenarios, tune parameters to improve performance, and supplement models with custom algorithm development when necessary. You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize financial and supply chain performance, and deliver measurable business impact.
WHAT YOU WILL DO…
Model Development
Develop and refine AI and machine learning models for demand forecasting using techniques such as time series analysis, regression, and ensemble learning
Data Analysis
Conduct exploratory data analysis (EDA) to identify patterns, anomalies, and key demand drivers
Insight Generation
Translate data into actionable insights to understand the impact of promotions, pricing, and external factors on demand
Platform Utilization
Use the o9 platform and open-source IDEs for model development, deployment, data management, and visualization
Continuous Improvement
Monitor and improve forecasting model accuracy, adapting to changing market conditions
Collaboration
Partner with demand planners, analysts, and business stakeholders to ensure models and insights are practical and impactful
WHO YOU WILL WORK WITH…
Demand Planning teams
Business analysts and data analysts
Cross-functional business stakeholders
Supply chain and commercial teams
Working Conditions
Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday–Thursday in-office)
10–15% travel for company and customer meetings
Join our talent community
We’re proud to be a purpose-driven company. Our goal is simple: to connect people through food they love. It’s the reason we innovate, grow, and show up every day because food brings people together.