Senior Data Scientist – Forecasting

Tiger Analytics

Senior Data Scientist developing and deploying forecasting solutions in retail and supply chain. Collaborating with business stakeholders to drive critical data-driven decisions.

Posted 6/15/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudNumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

- 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

Requirements

What you’ll need

- **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

Comp & perks

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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Hard Skills & Tools

time-series forecasting modelsARIMASARIMAETSmachine-learning-based forecasting modelsGBMRandom ForestXGBoostLightGBMSQL

Soft Skills

collaborationcommunicationleadershipanalytical problem solvingpresentation skills