Senior Applied Scientist - Demand Forecasting

Prodapt; San Jose (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Prodapt is seeking a Senior Applied Scientist with expertise in demand forecasting, machine learning, and retail analytics to develop forecasting models at scale. You will work on regional markets, adapt forecasting frameworks to seasonality and lead times, and calibrate accuracy with federated data.

Collaborate with the optimization team and validate models against go-live thresholds before activation. Strong Python/SageMaker skills and 7+ years of experience are required.

Qualifications

• 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 related field; 7+ years of experience as Applied Scientist.

Responsibilities

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

Skills

Forecasting

Time-series forecasting

ML models

Education

Bachelor's degree in CS/Engineering

Tools

SageMaker

Python

SQL

Job description

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.

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 as Applied 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