[Remote] Senior Data Scientist - Forecasting
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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