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Remote Senior Data Scientist - Demand Planning & Forecasting
- United States
- United States
Über
Senior Data Scientist
with deep expertise in
demand forecasting and time-series modeling . The ideal candidate will have strong applied experience building, deploying, and scaling forecasting solutions in production environments, particularly within
CPG, FMCG, retail, or similar industries .
Key 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 Implement and operationalize models in
cloud environments
(Azure preferred) Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions 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) 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.
Sprachkenntnisse
- English
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