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 solid collaboration skills.

Technical Skills

- 5 years of experience as a Data Scientist with a strong 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