Demand Forecasting Data Scientist

Job Summary

We are seeking an experienced Demand Forecasting Data Scientist with strong expertise in time series forecasting, machine learning, and supply chain analytics. The ideal candidate will have hands-on experience working with Databricks and Python, a deep understanding of demand planning use cases, and the ability to deliver scalable, production-ready forecasting solutions. This role requires a sharp analytical mindset, fast learning ability, and strong collaboration skills.

Technical Skills

• 5 years of experience as a Data Scientist with a strong focus on demand forecasting or supply chain analytics.
• Strong hands-on experience with Python and its associated libraries:
• NumPy, Pandas, SciPy
• scikit-learn
• statsmodels
• TensorFlow / PyTorch (for DL models)
• Solid experience with Time Series Forecasting techniques and real-world demand planning use cases.
• Hands-on experience with Databricks, including Spark, notebooks, and distributed data processing.
• Practical exposure to Machine Learning and Deep Learning model development and deployment.
• Experience working with large, complex datasets in cloud-based or big data environments.
• Practical understanding of Nixtla library is a plus.
• Experience with MLOps, model monitoring, and CI/CD pipelines.

Domain Knowledge

• Strong Supply Chain domain knowledge, especially demand forecasting, inventory planning, and sales forecasting.
• Understanding of forecast lifecycle, demand variability, and business constraints.