Senior Data Scientist - Forecasting

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
• Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements
• Translate business problems into analytical solutions
• Present model insights and recommendations to senior client stakeholders
• Lead workshops and forecasting strategy discussions with clients
• Implement and operationalize models in cloud environments
• 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
• 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)

Benefits

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.