Please find below job details :
Role : Manager - Data Science
Experience : 6 to 10 years
Location : Gurgaon / Bangalore
Mode : Hybrid
Job Description :
- Develop and automate data pipelines using Python for ingestion, cleansing, and transformation of supply chain data
- Design predictive analytics models in Python (e.g., demand forecasting, inventory optimization) using libraries such as pandas, scikit-learn, stats models, and Prophet
- Implement anomaly detection models to flag irregularities in procurement costs, delivery timelines, and inventory movements.
- Develop end-to-end ETL workflows for integrating data from SAP, SQL databases, and Excel-based trackers.
- Use Python for simulation of what-if scenarios in logistics, supply planning
- Hyper Parameter tuning to enhance the performance of models
- Design A / B tests and apply causal inference techniques for business impact analysis
- Strong in statistics and probability : hypothesis testing, confidence intervals, and bootstrapping
- Work with cloud platforms (AWS, GCP, Azure) and tools such as S3, Databricks
- Create interactive visualizations and dashboards using Plotly, Seaborn, and Power BI for communicating insights.
Functional :
Process know-how of supply chain planning and Logistics operationsBuild and deploy statistical and machine learning models (ARIMA, XGBoost, Prophet) for demand forecasting, supply planning and Logistics optimizationHands-on experience with Pyomo, PuLP, OR-Tools, and heuristics for scheduling, routing, and load optimizationBuild scenarios to analyze how varying key inputs like number of trucks, DCs and Dealers etc. influence the performance of entire networkCreate interactive dashboards using Power BI and Python for tracking logistics KPIs and operational metricsPresent data led cases / scenarios and model outputs to leadership for decision support and implementation readiness(ref : hirist.tech)