Staff Data Scientist, Dmarts - Quick Commerce
Core
Design, build, and maintain forecasting algorithms, optimization models, and personalized recommendation systems to scale non-food offerings and improve supply chain processes in quick commerce.
Role type
Staff Data Scientist (ML Platform & Forecasting)
Builds
Production ML models for demand forecasting, optimization, and personalized recommendations for quick commerce operations.
Domain
Quick Commerce / Supply Chain Planning / Retail Technology
Deliverable
production ML models
Required skills
End-to-end data workflow design, forecasting techniques, optimization, ML platform scaling, Python, Docker, AWS/GCP, TensorFlow, Pytorch, LLMs, stakeholder alignment
Preferred skills
Orchestration tools (Airflow, Kubeflow, MLflow), supply chain planning expertise
Technologies
Python, Docker, AWS, GCP, TensorFlow, Pytorch, LLMs, Airflow, Kubeflow, MLflow
Responsibilities
Develop, test, and productionize forecasting algorithms; contribute to personalized recommendation models; own technical strategy and long-term vision for ML platform architecture; define and evangelize ML/DS best practices across the organization.
Seniority
Staff, hands-on IC with strategic guidance
