Job Description
Job Title: Demand Forecasting Data Scientist
nExperience: 6+ years
nLocation: BENGALURU, India (Full time)
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nIf interested please share me your resume,
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n Job Summary
nWe are seeking an experienced Demand Forecasting Data Scientist with robust expertise in time series forecasting, machine learning, and supply chain analytics . The ideal candidate will have hands-on experience working with Databricks and Python
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n Key Responsibilities
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- Design, develop, and deploy demand forecasting models using time series, machine learning, and deep learning techniques.n
- Build end-to-end forecasting pipelines on Databricks leveraging distributed computing and scalable architectures.n
- Apply statistical and ML techniques such as ARIMA/SARIMA, Prophet, XGBoost, Random Forest, LSTM, GRU , TimeGPT and hybrid models.n
- Evaluate and improve forecast accuracy using appropriate metrics (MAPE, wMAPE, Bias).n
- Contribute to best practices in coding, model governance, documentation, and MLOps workflows.n

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n Required Skills & Qualifications




n Technical Skills
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- 6 years of experience as a Data Scientist with a strong focus on demand forecasting or supply chain analytics .n
- Strong hands-on experience with Python and its associated libraries:n
- NumPy, Pandas, SciPyn
- scikit-learnn
- statsmodelsn
- TensorFlow / PyTorch (for DL models)n
- Solid experience with Time Series Forecasting techniques and real-world demand planning use cases.n
- Hands-on experience with Databricks , including Spark, notebooks, and distributed data processing.n
- Practical exposure to Machine Learning and Deep Learning model development and deployment.n
- Experience working with large, complex datasets in cloud-based or big data environments.n
- Practical understanding of Nixtla library is a plus.n
- Experience with MLOps , model monitoring, and CI/CD pipelines.n

n Domain Knowledge
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- Strong Supply Chain domain knowledge , especially demand

📌 Forecasting Data Scientist (Bengaluru)
🏢 Artech
📍 Bengaluru