Job Summary /n 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. /n /n Technical Skills /n /n

- 5 years of experience as a Data Scientist with a robust focus on demand forecasting or supply chain analytics .

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- Strong hands-on experience with Python and its associated libraries:

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- NumPy, Pandas, SciPy

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- scikit-learn

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- statsmodels

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- TensorFlow / PyTorch (for DL models)

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- Solid experience with Time Series Forecasting techniques and real-world demand planning use cases.

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- Hands-on experience with Databricks , including Spark, notebooks, and distributed data processing.

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- Practical exposure to Machine Learning and Deep Learning model development and deployment.

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- Experience working with large, complex datasets in cloud-based or big data environments.

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- Practical understanding of Nixtla library is a plus.

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- Experience with MLOps , model monitoring, and CI/CD pipelines.

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- Strong Supply Chain domain knowledge , especially demand forecasting, inventory planning, and sales forecasting.

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- Understanding of forecast lifecycle, demand variability, and business constraints.

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