We are seeking a highly experienced
Senior Data Scientist with deep expertise in
demand forecasting and time-series modeling. The ideal candidate will have strong applied experience building, deploying, and scaling forecasting solutions in production environments, particularly within
CPG, FMCG, retail, or similar industries.
Key Responsibilities- Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS
- Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM
- Develop hierarchical and multi-level forecasting solutions across products, regions, and channels
- Perform large-scale data extraction, transformation, and analysis using SQL
- Implement and operationalize models in cloud environments (Azure preferred)
- Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions
Requirements- 10+ years of experience in applied data science or advanced analytics
- 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting
- Strong domain experience in CPG, FMCG, retail, or similar industries
- Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels)
- Strong SQL skills for large-scale data processing
- Proven experience deploying models in cloud environments (Azure preferred)
BenefitsThis position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
