Demand Forecasting Data Scientist

Location: Bengaluru

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:
Num Py, Pandas, Sci Py
scikit-learn
stats models
Tensor Flow / 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.