- 6 years of experience as a Data Scientist with a strong focus on demand forecasting or supply chain analytics.
- Robust 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.
No BFSI domain experience in current project
📌 Demand Forecasting Data Scientist (Bengaluru)
🏢 Artech
📍 Bengaluru
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