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Senior Data Scientist - Demand Forecasting - Helen of Troy
Data Scientist
Lead advanced demand forecasting initiatives using Python, machine learning, and time‑series techniques on the O9 Platform, driving supply‑chain efficiency for a global consumer‑goods portfolio.
About the role
Key Responsibilities
- Design, develop, and deploy predictive models for demand forecasting across multiple product categories.
- Collaborate with cross‑functional teams to integrate data from ERP, CRM, and external market sources.
- Implement and maintain end‑to‑end data pipelines using SQL and AWS services.
- Translate complex analytical insights into actionable recommendations for supply‑chain planning.
- Continuously evaluate model performance and iterate to improve accuracy.
Requirements
- 5+ years of experience in data science with a focus on demand forecasting.
- Proficiency in Python, SQL, and machine‑learning libraries (scikit‑learn, XGBoost, Prophet).
- Hands‑on experience with time‑series analysis and forecasting techniques.
- Strong knowledge of AWS data services (S3, Redshift, Glue).
- Excellent communication skills and ability to present findings to non‑technical stakeholders.
Skills
pythonmachine learningsqlaws