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Job Description

Description :

Build and deploy traditional machine learning models focused on sales forecasting and time-series analysis to drive business insights and decision-making.

Responsibilities :

- Develop and optimize time-series forecasting models (ARIMA, Prophet, etc.)

- Analyze sales data and build predictive models

- Perform feature engineering and model evaluation

- Collaborate with business and data teams

- Deploy and monitor models in production

Requirements :

- Strong experience in time-series modeling and forecasting

- Proficiency in Python and ML libraries (scikit-learn, statsmodels, etc.)

- Solid understanding of statistics and data analysis

- Experience with real-world sales/demand forecasting

Note :

GenAI/LLM experience is not required


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