Build and optimize machine learning and statistical models to improve demand predictability, inventory decisions, and supply chain responsiveness.
Pay: $60.00 - $69.55/hr; W2 contract, no PTO, no Benefits. ACA-compliant supplemental package available for enrollment.
- Develop and optimize machine learning and statistical models, including time-series forecasting and hyperparameter optimization, to improve demand forecast accuracy for operational use.
- Build robust data and ETL pipelines, develop data visualizations, and automate model training, deployment, and monitoring using MLOps practices to deliver reliable, scalable forecasts and actionable supply chain insights.
- Collaborate with business stakeholders to understand their challenges and translate complex analytical results into actionable recommendations.
- Understand supply chain processes and build AI agent pipelines to automate routine workflows and support faster, more effective decision-making.
- Bachelor's degree in Computer Science, Computer Engineering, Data Science, Statistics, or a relevant technical field
- Master's degree in a related field
- Doctoral degree in a related field
- Nice to have: supply chain optimization
- Nice to have: inventory