Overview:
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.
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
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 asApplied Scientist with expertise in demand forecasting.
Ability to work independently with architectural direction from lead scientist
Preferred: