Data Scientist (Data Science)

Posted Yesterday
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Everett, WA
In-Office
173K-235K Annually
Senior level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
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The Role
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.
Summary Generated by Built In
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
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The Company
HQ: Arlington, VA
170,000 Employees
Year Founded: 1916

What We Do

A leading global aerospace company and top U.S. exporter, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. Our U.S. and global workforce and supplier base drive innovation, economic opportunity, sustainability and community impact. Boeing is committed to fostering a culture based on our core values of safety, quality and integrity.

Why Work With Us

Aerospace protects and connects people, enables economic growth and trade, provides humanitarian relief and allows for human exploration of space. Boeing collaborates globally to support responsible growth for our industry, and we invest in innovation that improves the efficiency and sustainability of air travel and our operations.

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