Senior Data Scientist - Demand Planning & Forecasting

About this role

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

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*...