Job Summary

We are seeking an experienced Demand Forecasting Data Scientist with robust 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, quick 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 settings. - 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.

📌 Demand Forecasting Data Scientist Bengaluru
🏢 Artech
📍 Bengaluru