Job Description & How to Apply Below
Job Title:
Demand Forecasting Data Scientist
Experience:
6+ years
Location:
BENGALURU, India (Full time)
If interested please share me your resume,
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
Key Responsibilities
Design, develop, and deploy demand forecasting models using time series, machine learning, and deep learning techniques.
Build end-to-end forecasting pipelines on Databricks leveraging distributed computing and scalable architectures.
Apply statistical and ML techniques such as ARIMA/SARIMA, Prophet, XGBoost, Random Forest, LSTM, GRU , TimeGPT and hybrid models.
Evaluate and improve forecast accuracy using appropriate metrics (MAPE, wMAPE, Bias).
Contribute to best practices in coding, model governance, documentation, and MLOps workflows.
Required
Skills & Qualifications
Technical Skills
6 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:
Num Py, Pandas, Sci Py
scikit-learn
stats models
Tensor Flow / 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.
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