Demand Forecasting Data Scientist

Technical Skills
6 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.
No BFSI domain experience in current project

Work arrangement
No