Job Description

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 solid 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.

📌 Demand Forecasting Data Scientist (Bengaluru)
🏢 Artech
📍 Bengaluru