Senior Forecasting Scientist - Time-Series & ML

Tiger Analytics Inc.; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Tiger Analytics Inc. is seeking a Senior Data Scientist – Forecasting to join our advanced analytics team.

You will design, develop, and deploy forecasting solutions across demand planning, inventory optimization, and supply chain operations for leading Retail and CPG clients. The role requires strong statistical forecasting expertise and hands-on ML experience, with the ability to translate complex findings into actionable business recommendations.

Qualifications

• 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).

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

Job description

Tiger Analytics Inc. is seeking a Senior Data Scientist – Forecasting to join our advanced analytics team.

You will design, develop, and deploy forecasting solutions across demand planning, inventory optimization, and supply chain operations for leading Retail and CPG clients. The role requires strong statistical forecasting expertise and hands-on ML experience, with the ability to translate complex findings into actionable business recommendations.