Solution Architect/Data Scientist

Boeing • Seattle, WA

2d • $218,450 - $295,550 • Onsite

About The Position

The Boeing Company’s Boeing Global Services (BGS) is hiring a Level 5 Solution Architect/Data Scientist for the Business Modernization Office in Seattle, Washington. This onsite role seeks an experienced or lead data scientist to deliver large-scale impact across the BGS business unit. The position combines technical solution architecture with data science, analytics, artificial intelligence, and machine learning.

Requirements

• Bachelor’s degree from an accredited course of study in Mathematics, Data Science, Computer Science, Engineering, Physics, or a similar discipline.
• Experience in information technology, data analytics, and/or system architectures.
• At least 5 years of professional experience in data science, artificial intelligence, or machine learning.
• Experience with software development and programming.
• Experience leading technical teams or projects.
• Knowledge of design systems for software, databases, frameworks, and cloud platforms to build scalable, secure, and cost-effective systems.
• Must satisfy the Company’s Conflict of Interest assessment process.
• Must meet U.S. export control compliance requirements as a U.S. Person, as defined by 22 C.F.R. §120.62.

Nice To Haves

• Knowledge of Boeing Global Services business, including technical solution applications, data, and infrastructure.
• At least 5 years of experience in natural language processing.
• Proficiency with data visualization tools.
• Experience with generative AI models, including LLMs, for building knowledge-driven solutions.
• Experience integrating models into customer environments, both on-premises and in cloud environments.
• Experience working in an agile software development team or with Lean methodologies.

Responsibilities

• Design target technical solutions spanning applications, integrations, data, and infrastructure; make build, buy, or configure decisions and evaluate vendors.
• Ensure solutions fit enterprise standards and meet security and scalability needs.
• Guide implementation teams and resolve technical risks.
• Lead integration and alignment of IT technical stakeholders.
• Collaborate with cross-functional teams to identify and define data requirements, collection methods, and data quality standards.
• Build systems that support data analysis and exploration to identify patterns, trends, and insights that inform decisions.
• Continuously evaluate and improve existing models and algorithms to enhance accuracy, efficiency, and scalability.
• Ensure data security, privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle.
• Keep up to date with advancements in data science, machine learning, and aerospace technologies to drive innovation and maintain a competitive edge.

Benefits

• Competitive base pay and variable compensation opportunities.
• Eligible employees may enroll in benefit programs generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance, and programs providing paid and unpaid time away from work.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior