- Hialeah, Florida, United States
- $106K–$151K per year
- 4+ years
Lead end-to-end data science initiatives for Boeing Global Services’ distribution portfolio, developing and deploying machine learning models, analytics tools, and optimization solutions to support supply chain and fleet operations.
Compensation
Summary pay range: $106,000 - $151,000
Responsibilities
- Design, implement, and operate data pipelines, ML models, backend services, frontend dashboards, and integrations for SIOP and fleet analytics
- Build and productionize forecasting, demand-sensing, and inventory/fleet optimization models and expose them via APIs and UI components
- Implement telemetry ingestion and preprocessing for fleet telematics, ERP/MRP feeds, maintenance systems, and external market data
- Create interactive scenario-planning tools and visualizations for SIOP and program decision reviews
- Implement role-based access, data lineage, and governance for sensitive enterprise datasets
Requirements
- Bachelor's degree in Data Science, Computer Science, related field
- Nice to have: Deep Learning
- Nice to have: time series forecasting
- Nice to have: natural language processing
- Nice to have: causal inference