Lead Artificial Intelligence /Machine Learning Data Scientist (Data Science)

Boeing

Remote

Quick summary

Work type: Remote
Location: Seattle, WADallas, TX
Salary: $218,450–$295,550 / yr
Posted: 7 days ago
Closes: Jun 25, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k

This role $257k

$98k most similar roles pay here $317k

This role pays more than 96% of similar roles. Most pay $126,800–$211,200 — the shaded band above. At the midpoint, this role pays about $257k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Boeing

Boeing is the world''s largest aerospace company and leading manufacturer of commercial jetliners, military aircraft, defense systems, and space launch vehicles for customers in 150 countries. Industry: Aerospace & Defense Manufacturing

Boeing currently has 103 open roles on FindRole.

Listed pay typically runs $118,150–$159,850 across 102 roles with salary data.

Most-posted roles

View all roles at Boeing

At a glance

TL;DR · Lead Artificial Intelligence /Machine Learning Data Scientist (Data Science)

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The Boeing Company seeks a Lead Artificial Intelligence/Machine Learning Data Scientist in Seattle, WA or Dallas, TX. This senior role involves leading the development and deployment of AI and ML solutions across various business units, including aircraft operations, engineering, supply chain, manufacturing, quality, and safety. The ideal candidate will collaborate with cross-functional teams to define analytics requirements, deploy models, and mentor junior data scientists while staying abreast of cutting-edge technologies like agentic AI, NLP, deep learning, and conversational AI. Required skills include extensive experience in machine learning methods, designing NLP models, and deploying ML solutions in cloud environments such as AWS or Azure. Programming proficiency in Python, Java, C++, Scala, and SQL is essential, along with a Master’s degree in data science or equivalent.

Skills

Python Java C++ SQL AWS Google Cloud Platform Microsoft Azure Natural Language Processing Deep Learning Transformer Architectures Agile Methodology Machine Learning Reinforcement Learning NLP Models Cloud Computing Advanced Statistics Probability Theory MATRIX ALGEBRA Multivariate Statistics

What you'll do

Define and deploy AI/ML solutions to meet business goals.
Choose and validate algorithms to achieve desired outcomes.
Mentor data scientists and provide technical leadership.
Identify new applications of AI across the enterprise.
Interface with senior leaders to architect advanced analytics solutions.

What we're looking for

10+ years of experience in machine learning methods including regression, clustering, classification, and deep learning.
5+ years of designing and implementing Natural Language Processing (NLP) models using neural networks and transformer architectures.
Experience developing end-to-end Agentic AI solutions and training ML models in cloud environments like AWS or GCP.
Master’s degree in data science or equivalent field required.
Proven ability to work with cross-functional teams on complex data sets using advanced analytics techniques.
Expertise in programming languages such as Python, Java, C++, and database languages like SQL.

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