Job Description
We are looking for a Junior Data Scientist to join our Supply Chain team. In this role, you will develop and maintain statistical and machine learning models to generate accurate demand forecasts. You will work closely with demand analysts, planners, and cross-functional teams to continuously improve forecasting tools and processes.
Key Responsibilities
- Build and maintain forecasting models and tools.
- Monitor model performance and implement improvements.
- Collaborate with demand planners and analysts to gather insights and inputs.
- Conduct back-testing and support tool setup.
- Ensure timely and accurate forecast generation.
- Drive adoption of statistical forecasting methods.
- Performance Indicators
- Forecast accuracy and bias
- Forecast value add
- On-time forecast delivery
- Model/tool adoption and improvement
Key Collaborations
- Internal: Demand Planners, Supply Chain Analytics Hub, Sales, Finance, Marketing
- External: Customers, Industry Forums & Partners
Qualifications
- Bachelor’s degree in Mathematics, Engineering, Computer Science, or Data Science.
- 2+ years of experience in demand modeling (time series/statistical/ML).
- Proficiency in Python/PySpark, Azure, Snowflake, and Databricks.
- Strong understanding of end-to-end supply chain processes.
Soft Skills
- Strong analytical and problem-solving abilities.
- Ability to explain complex concepts simply.
- Collaborative mindset and openness to feedback.
- Fluent in English.
