Boeing Logo

Boeing

Data Scientist (Data Science)

Posted 4 Hours Ago
Be an Early Applicant
In-Office
Everett, WA
173K-235K Annually
Senior level
In-Office
Everett, WA
173K-235K Annually
Senior level
The Senior Data Scientist will develop AI and ML solutions, collaborating with cross-functional teams to deploy models that provide business insights and support decision-making.
The summary above was generated by AI
Job Description
At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Boeing Commercial Airplanes is looking for a Senior Data Scientist (Level 3 or 4) to join the Supply Chain Functional Excellence organization in Everett, WA.
The Sr. Data Scientist will develop and build Artificial Intelligence (AI) and Machine Learning (ML) products and services. This position will work effectively with cross-functional teams to generate, test, and deploy models into existing business workflows, solutions, and tools to accelerate the business forward. Must be technically competent and have strong communication skills to translate opaque model outputs to tangible real-world business outcomes.
Our Supply Chain Functional Excellence team focuses on a data-driven transformation of the organization by providing real-time insights for complex business problems and aids senior/executive leadership in their decision-making process. You will contribute as a team member alongside the Business Intelligence (BI) Analysts, Data Scientists, System & Process specialists and work closely with stakeholders to deliver solutions that help The Boeing Company deliver safer, better, and more efficient airplanes and products.
Basic Qualifications:
  • Level 3: 5+ years of professional experience in data science, advanced analytics, or machine learning roles.
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering, or a related quantitative field.
  • Strong proficiency in Python or R, and advanced SQL for data manipulation and querying.
  • Proficient in developing, testing, and deploying machine learning algorithms (supervised/unsupervised), statistical modeling, and data cleaning/preprocessing techniques
  • Proficient in tools like Tableau, Power BI, Matplotlib, DataIku
  • Strong communication skills to translate complex models to tangible business recommendations
  • Familiarity with Knowledge Graphs like Neo4j/ArangoDB and how to create Ontologies from Datasets
  • Experience with integrating APIs into ETL pipelines

Preferred Qualifications:
  • Level 4: 7+ years of professional experience in data science, advanced analytics, or machine learning roles.
  • Knowledge Graphs | Experience designing and building knowledge graphs in Neo4j/ArangoDB or similar technology (data modeling, entity resolution, relationship traversal/querying). GraphRAG/LLM experience is a plus.
  • Supply Chain Expertise | Specific domain knowledge in Supply Chain systems and processes.
  • Education | Master's degree or PhD in a quantitative field.
  • Cloud Platforms | Experience with cloud environments (AWS, GCP, or Azure).
  • MLOps and Deployment | Experience in moving models into production, containerization (Docker, Kubernetes), and building automated pipelines.
  • Data & AI Platforms | Experience with Databricks, Dataiku (or similar) to build, deploy, and operationalize data pipelines and AI/ML workflows.
  • Leadership | Proven experience in mentoring junior data scientists and leading projects from end-to-end.

Drug Free Workplace:
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
Pay & Benefits:
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:
Level 3: 137,700 - 186,300
Level 4: $173,400 - 234,600
Applications for this position will be accepted until Mar. 19, 2026
Export Control Requirements:
This is not an Export Control position.
Relocation
Relocation assistance is not a negotiable benefit for this position.
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Shift
This position is for 1st shift
Equal Opportunity Employer:
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.

Top Skills

Arangodb
AWS
Azure
Databricks
Dataiku
Docker
GCP
Kubernetes
Matplotlib
Neo4J
Power BI
Python
R
SQL
Tableau

Similar Jobs at Boeing

4 Hours Ago
In-Office
Tukwila, WA, USA
111K-183K Annually
Mid level
111K-183K Annually
Mid level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Seeking a Composites Manufacturing Engineer to develop automated manufacturing solutions for aircraft parts, requiring collaboration in a team-oriented environment.
Top Skills: As9100Catia V5CmesComposites FabricationDassault 3DxManufacturing EngineeringManufacturing Execution SystemsMesciPrime-RQuality Management SystemsSiemens Team Center
4 Hours Ago
In-Office
Everett, WA, USA
97K-131K Annually
Mid level
97K-131K Annually
Mid level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
The Operations & Compliance Analyst will improve safety, compliance, and quality in production, lead projects using Lean principles, analyze data, and implement process improvements.
Top Skills: Microsoft Office Suite
4 Hours Ago
In-Office
Tukwila, WA, USA
97K-131K Annually
Mid level
97K-131K Annually
Mid level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Support production and compliance with a focus on safety and quality. Lead improvement projects, analyze data, and engage with stakeholders for process enhancements.
Top Skills: Microsoft Office Suite

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account