Experienced Data Scientist (Level 3)

Quick Facts

• Experienced Data Scientist (Level 3)
• Focus: supply chain optimization and aviation/aerospace analytics

Description

You will envision, develop, and implement optimized supply chain and fleet/entity analytics solutions using statistics, machine learning, and analytics techniques. The role includes end-to-end ownership of data pipelines, forecasting and optimization models, telemetry ingestion, and production services and dashboards. You will enable scenario planning with explainable, interactive visualizations and translate business questions into measurable impact.

Responsibilities

• Design, implement, and operate data pipelines, ML models, backend services, frontend dashboards, and integrations supporting SIOP and fleet/entity analytics
• Build and productionize forecasting, demand-sensing, and inventory/fleet optimization models; expose them via robust APIs and UI components
• Ingest and preprocess telemetry from fleet telematics, ERP/MRP feeds, maintenance systems (EAM/CMMS), and external market/competitive data
• Create interactive scenario-planning tools and visualizations for SIOP and program decision reviews (what-if simulation and explainability)
• Implement data lineage, governance, role-based access, and ensure data quality and reproducibility
• Containerize, deploy, and monitor model and application services with CI/CD, observability, and automated testing
• Set up model monitoring, drift detection, retraining pipelines, and feature stores for the production ML lifecycle
• Collaborate with stakeholders to translate business questions into technical solutions and measure business impact
• Mentor engineers and analysts; promote best practices for reproducible notebooks, modular code, testing, and documentation

Requirements

• 4+ years of experience in Data Science
• 2+ years of experience with Python
• 2+ years of experience with database querying and data extraction/aggregation using SQL
• 5+ years of data visualization experience creating clear charts and dashboards
• 3 years of experience with model evaluation (metrics, cross-validation, bias/variance trade-off, calibration)

Benefits

• Competitive base pay and variable compensation opportunities
• Health insurance and other benefit programs (eligible employees)
• Retirement savings plans, life and disability insurance
• Paid and unpaid time away from work programs (eligibility varies)
• Summary pay range: $106,000 - $162,000

Additional Notes

• Visa sponsorship is not provided; relocation assistance is not negotiable.
• U.S. export control compliance requires a “U.S. Person” as defined by 22 C.F.R. 120.62.