Position Details
About this role
Data Scientist supporting Demand Planning by developing forecasting models and applying ML techniques to improve forecast accuracy and supply chain performance.
Key Responsibilities
- Develop and refine AI and machine learning models for demand forecasting
- Conduct exploratory data analysis (EDA) to understand data patterns
- Derive actionable insights on promotions, pricing, and external variables affecting demand
- Employ the o9 platform and IDEs for model construction and deployment
- Continuously monitor and improve forecasting accuracy
Technical Overview
Model development using Python/R/SQL; time series and ML methods; platform usage with o9; collaboration with planners; deployment and visualization of results.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 4+ years in forecasting and advanced analytics, strong Python/R/SQL skills, and experience with demand planning data and the o9 platform.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 4 years of relevant experience, No experience with time series forecasting, Lack of proficiency in Python, R, or SQL
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