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