Job Description:
• 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)
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.***
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