Senior Data Scientist - Demand Planning & Forecasting

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
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)

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Details

Location

Canada United States

Experience

Min. 15 years10+ years of experience in applied data science or advanced analytics; 5+ years in demand planning, forecasting, or sales forecasting

Technologies

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
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)

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.