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Added 1 min ago
Senior/Staff Product Owner, SMART MFG & AI
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Experience with Artificial Intelligence, Machine Learning, Data Science, Smart Manufacturing, or advanced analytics initiatives.
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Experience using AI, machine learning, or data analytics tools to support engineering analysis and root cause investigations.
Added 4 mins ago
Senior Full-Stack AI Engineer
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Added 4 mins ago
Cyber - Google Cloud Security - Senior Manager
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…locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for…
Added 5 mins ago
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Added 25 mins ago
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Added 29 mins ago
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Added 45 mins ago
Postdoctoral Scholar, Bentonville Institute of Technology
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Added 49 mins ago
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Director, AI Platform & Agentic Engineering, AI & Genome Sciences
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Added 1 hour ago
Oliver Wyman - Senior Lead AI Engineer
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Added 1 hour ago
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Added 2 hours ago
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Closed listing

The Boeing Company

Solution Architect/Data Scientist

Seattle, WA, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Closing date: Nov 7, 2026
Posting language: English
Posted: Nov 3, 2026

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Original job description

Archived listing. The details below describe a past opening.

Solution Architect/Data Scientist

Company:

The Boeing Company

Boeing Global Services (BGS) is hiring a Solution Architect/Data Scientist (Level 5) for the Business Modernization Office in Seattle, WA. We seek passionate, curious, and talented Solution Architect who wants their job to have large scale impacts across the BGS business unit. As an experienced/lead data scientist, you will play a crucial role in the Business Modernization Office. This position is onsite.

Position Responsibilities:

Designs the target technical solution: applications, integrations, data and infrastructure makes build / buy / configure decisions and evaluates vendors
Ensures fit with enterprise standards, security and scalability
Guides implementation teams and resolves technical risks
Leads integration and alignment of IT technical stakeholders
Collaborate with cross-functional teams to identify and define data requirements, data collection methods, and data quality standards.
Build systems that enable conducting data analysis and exploration to identify patterns, trends, and insights that drive decision-making
Continuously evaluate and improve existing models and algorithms to enhance their accuracy, efficiency, and scalability.
Ensure data security, privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle.
Stay up-to-date with the latest advancements in data science, machine learning, and aerospace technologies to drive innovation and maintain a competitive edge.

Basic Qualifications (Required Skills/Experience):

Bachelor’s degree from an accredited course of study in Mathematics, Data Science, Computer Science, Engineering, Physics or similar discipline
Experience in information technology, data analytics, and/or system architectures
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

Preferred Qualifications (Desired Skills/Experience):

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

Conflict of Interest:

Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range: 218,450 – 295,550

Language Requirements:

Not Applicable

Education:

Bachelor's Degree or Equivalent

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Export Control Requirement:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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