Experienced Data Scientist

Boeing Global Services (BGS) Distribution Business is looking for an Experienced Data Scientist (Level 3) to join our team in Dallas, TX.

In this role, you will envision, develop and implement optimized supply chain solutions to enhance support and services under Boeing Global Services' (BGS) Distribution portfolio. You will use optimization techniques to evaluate Stocking Strategies, Safety Stocks, Supplier Capacity Constraints, Economic Order Quantity (EOQ), and others. In addition, you will empower Boeing's customer-facing software tools, products and services with cutting-edge analytics technologies. You will apply machine learning, statistics, and other analytics techniques to the unique challenges of aviation and aerospace. You will contribute your data science expertise to cross-functional project teams to help develop, launch and maintain leading-edge aviation software solutions around the world.

Position Responsibilities:

• End-to-end ownership: design, implement, and operate data pipelines, ML models, backend services, frontend dashboards, and integrations that support SIOP and fleet/entity analytics.
• Build and productionize forecasting, demand-sensing, and inventory/fleet optimization models and expose them via robust APIs and UI components.
• Implement telemetry ingestion and preprocessing for fleet telematics, ERP/MRP feeds, maintenance systems (EAM/CMMS), and external market/competitive data.
• Create interactive scenario-planning tools and visualizations used in SIOP and program decision reviews; enable what-if simulation and explainability of model outputs.
• Implement role-based access, data lineage, and governance for sensitive enterprise datasets; ensure data quality and reproducibility.
• Containerize, deploy, and monitor model and application services with CI/CD, observability, and automated testing.
• Implement model monitoring, drift detection, retraining pipelines, and feature stores for production ML lifecycle.
• Collaborate with stakeholders to translate business questions into technical solutions and measure business impact (forecast accuracy, inventory reduction, fleet readiness).
• Mentor engineers and analysts; establish best practices for reproducible notebooks, modular code, testing, and documentation.

Basic Qualifications (Required Skills/Experience):

• 4+ years of experience in Data Science
• 2+ years of experience with Python.
• 2+ years of experience in database and querying with SQL Skills for extracting and aggregating data
• 5+ years data visualization with the ability to create clear charts and dashboards
• 3+ year experience with model evaluation: metrics, cross-validation, bias/variance trade-off, calibration

Preferred Qualifications (Desired Skills/Experience):

• Bachelor's degree in Data Science, Computer Science, related field
• Domain knowledge of the aviation & aerospace industry
• Experience with model deployment (APIs, Docker, MLOps pipelines)
• Advanced topics: Deep Learning, time series forecasting, natural language processing, causal inference
• Certification in Cloud, AWS, etc

Benefits:

• Competitive base pay and variable compensation opportunities
• Health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and several programs that provide for both paid and unpaid time away from work

Pay Transparency:

• Summary pay range: $106,000 - $162,000