Job Description
We are seeking a highly experienced Data Science to drive the development and deployment of advanced analytical solutions in the supply chain domain. The ideal candidate will have a strong background in statistical and machine learning techniques, with a particular focus on time series forecasting .
Responsibilities- Design, implement, and maintain production-level statistical and machine learning models, with emphasis on time series forecasting and supply chain applications (demand planning a plus).
- Develop reusable analytical toolkits and frameworks to accelerate modeling efforts across the organization.
- Perform ETL, data wrangling, and feature engineering to prepare high-quality datasets for modeling.
- Apply supervised and unsupervised learning techniques (Random Forest, Decision Trees, XGBoost, LightGBM, ARIMA, ARIMAX, Holt-Winters, regression, hypothesis testing, etc.) to solve complex business problems. Deep Lear...
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