Senior Data Scientist – Demand Planning, Forecasting
Job Description:
- 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
• Implement and operationalize models in
cloud environments
(Azure preferred)
- Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions
Requirements:
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: 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.* Apply tot his job Apply To this Job