remote
Senior Data Scientist - Demand Forecasting - Texas L P
Data Scientist
Lead advanced demand forecasting models using Python and machine learning, driving supply chain efficiency for a global consumer goods portfolio. Leverage SQL, AWS, and the O9 Platform to deliver actionable insights and optimize inventory across multiple brands.
About the role
Key Responsibilities
- Design, develop, and deploy predictive models for demand forecasting across a diverse brand portfolio.
- Collaborate with cross‑functional teams to translate business requirements into data‑driven solutions.
- Extract, clean, and transform large datasets using SQL and Python, ensuring data quality and integrity.
- Implement model monitoring and performance tuning on AWS infrastructure.
- Communicate findings and recommendations to stakeholders through clear visualizations and reports.
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, etc.).
- Hands‑on experience with AWS services (S3, Redshift, SageMaker).
- Strong analytical skills and ability to translate complex data into actionable insights.
- Excellent communication skills and a collaborative mindset.
Skills
pythonmachine learningsqlaws