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.