Job Description

Job Summary

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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, rapid learning ability, and strong collaboration skills.

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Technical Skills

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5 years of experience as a Data Scientist with a strong focus on demand forecasting or supply chain analytics.
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Robust 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 settings.
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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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Domain Knowledge

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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