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 .
~ Solid 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.

📌 Data Scientist SQL/python (Bengaluru)
🏢 Artech
📍 Bengaluru