Note: The job is a remote job and is open to candidates in USA. Tiger Analytics is looking for experienced Data Scientists to join their fast-growing advanced analytics consulting firm. The Senior Data Scientist – Forecasting will design, develop, and deploy forecasting solutions to support critical business decisions across various sectors including Retail, CPG, and Supply Chain.

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

Skills

• 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)

Company Overview

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