Data Scientist (Data Science)

Boeing

Remote

Quick summary

Work type: Remote
Location: Everett, WA
Salary: $137,700–$186,300 / yr
Posted: 1 day ago
Closes: Jun 12, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $152k

This role $162k

$85k most similar roles pay here $229k

This role pays more than 59% of similar roles. Most pay $126,800–$178,175 — the shaded band above. At the midpoint, this role pays about $162k versus about $152k 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 70 open roles on FindRole.

Listed pay typically runs $126,900–$161,925 across 68 roles with salary data.

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View all roles at Boeing

At a glance

TL;DR · Data Scientist (Data Science)

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The Boeing Company's Commercial Airplanes division seeks a Senior Data Scientist (Level 3 or 4) to join its Supply Chain Functional Excellence team in Everett, WA. This role involves developing and deploying AI and ML solutions that integrate seamlessly with existing business workflows, requiring strong technical skills in Python, R, SQL, and tools like Tableau and Power BI. The ideal candidate will work closely with cross-functional teams to provide real-time insights for complex supply chain issues, translating model outputs into actionable recommendations for executive decision-making. Experience with knowledge graphs (Neo4j/ArangoDB) and cloud platforms is preferred, as well as a background in MLOps and data pipeline automation using technologies like Databricks or Dataiku.

Skills

Python R SQL Tableau Power BI Matplotlib DataIku Neo4j ArangoDB AWS GCP Azure Docker Kubernetes Databricks MLOps CI/CD

What you'll do

Develop and deploy machine learning algorithms for business workflows.
Translate complex model outputs into actionable business recommendations.
Integrate APIs into ETL pipelines to enhance data processing capabilities.
Design and build knowledge graphs using Neo4j or ArangoDB technologies.
Mentor junior data scientists and lead projects from conception to deployment.
Build automated ML pipelines and deploy models in cloud environments.

What we're looking for

5+ years of professional experience in data science, machine learning, or advanced analytics roles.
Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering.
Proficiency in Python/R and SQL for data manipulation and querying.
Expertise in developing, testing, and deploying ML algorithms and statistical models.
Strong communication skills to translate complex model outputs into business recommendations.
Experience with knowledge graphs (Neo4j/ArangoDB) and creating ontologies from datasets.

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