Senior Data Scientist - Forecasting
On-siteNew York City, New York, United States or Portland, Oregon, United States
Job Summary
Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS alongside machine-learning solutions using GBM, Random Forest, XGBoost, and LightGBM. Build hierarchical forecasting across products, regions, and channels while performing large-scale data extraction and analysis with SQL. Partner with supply chain, merchandising, and planning teams to translate demand planning requirements into scalable analytics solutions and present insights to senior stakeholders. Implement operationalized models in cloud environments and lead workshops on forecasting strategy. This role supports leading Retail, CPG, and Supply Chain clients within Tiger Analytics' advanced analytics consulting firm.
Required 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
Desired Qualifications
- Azure preferred
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