Senior Data Scientist Job at Boeing (Everett)

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.

Job Responsibility

Develop and build Artificial Intelligence (AI) and Machine Learning (ML) products and services
Work effectively with cross-functional teams to generate, test, and deploy models into existing business workflows, solutions, and tools to accelerate the business forward
Translate opaque model outputs to tangible real-world business outcomes

Requirements

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

Nice to have

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