Staff Data Scientist, Dmarts - Quick Commerce
Core
Design, build, and maintain forecasting algorithms, personalized recommendations, and ML models to scale non-food offerings and optimize supply chain processes for millions of daily customers.
Role type
Staff Data Scientist (Forecasting & Operations)
Builds
Production ML models for demand forecasting, supply chain optimization, and personalized recommendations.
Domain
Quick Commerce / Supply Chain / Retail
Deliverable
production ML models
Required skills
End-to-end data workflow design, forecasting techniques, optimization, ML platform scaling, Python, Docker, cloud platforms (AWS/GCP), AI frameworks (TensorFlow/PyTorch), LLMs
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 using ML and optimization models; Contribute to building models for personalized recommendations; Own technical strategy and long-term vision for ML platform architecture; Guide teams on ML strategy and integration; Stay on top of new technologies in data science and customer analytics.
Seniority
Staff, hands-on IC with strategic guidance
