Senior Applied Scientist - Demand Forecasting

Prodapt • Brentwood, CA

8d

About The Position

Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A “Great Place To Work® Certified™” company, Prodapt employs over 6,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally. We are seeking a highly skilled Senior Applied Scientist with expertise in demand forecasting, machine learning, and retail analytics to develop and optimize forecasting models at scale.

Requirements

• Applied statistics, time-series forecasting (ARIMA, Prophet, neural methods)
• Retail demand planning or demand sensing experience
• SageMaker model training and deployment
• Python, SQL, experience with large-scale retail datasets
• Bachelor’s degree in Computer Science, Engineering, or a related field; OR equivalent combination of education and relevant experience.
• Hands-on 7+ years of experience as Applied Scientist with expertise in demand forecasting.
• Ability to work independently with architectural direction from lead scientist

Nice To Haves

• Supply chain or inventory management domain experience
• Multi-market / international retail exposure

Responsibilities

• Develop and retrain demand forecasting models as new regional markets come online
• Adapt existing forecasting framework to regional demand signals (seasonality, buying patterns, lead times per market)
• Calibrate forecast accuracy using federated regional data
• Validate model quality meets go-live thresholds before each regional activation
• Collaborate with the optimization team on inputs to the allocation engine

What This Job Offers

• Job Type: Full-time
• Career Level: Senior