Data Scientist

Boeing; Everett (WA); On-site; USD 138,000 - 186,000; Full time

Job summary

Boeing’s Production AI & Digital Strategy team in Everett, WA seeks an Experienced Data Scientist to lead AI-driven production initiatives. You will steer cross-functional projects, define strategies, and deploy prescriptive analytics across manufacturing workflows.

The role emphasizes delivering innovative AI/ML solutions, collaborating with engineering and operations, and influencing key business decisions with data-driven insights. First Shift.

Qualifications

• 5+ years of programming experience in Python for data analysis, mathematical modeling, machine learning, and automation.
• 5+ years of SQL skills for data extraction, transformation, and analysis across datasets.
• Statistics, Data Analysis, and Mathematical Modeling to solve business problems and inform decisions.
• Machine Learning: developing, training, and evaluating predictive models.
• NLP: applying techniques to extract insights from text data.

Responsibilities

• Lead and facilitate the development, integration, and execution of AI-driven production programs.
• Collaborate with cross-functional teams to define problems and deliver results.
• Evaluate objectives, select methods, validate models, and deploy solutions in production.
• Prepare data and enhance features for robust model performance.

Skills

Python

SQL

Statistics

Machine Learning

NLP

Cloud Platforms

MLOps

Deep Learning

API Development

Project Management

Communication

Git

Domain Knowledge

Data Visualization

Education

Bachelor's degree

Job description

Company

Data Scientist Company: The Boeing Company Boeing Commercial Airplanes (BCA) is seeking an Experienced Data Scientist to work in the Production AI & Digital Strategy team within the Manufacturing & Safety organization based in Everett, Washington on First Shift. This role requires a highly skilled individual contributor who will lead and facilitate the development, integration, and execution of strategic business programs, plans and projects supporting AI-driven production initiatives. You will be instrumental in leading cross-functional projects to determine, define and deploy complex predictive/prescriptive analytic solutions using Artificial Intelligence and other methods and tools to meet business objectives.

Position Responsibilities

Make use of and apply job practices, techniques, standards, principles, theories, and concepts Provide solutions to a variety of technical problems of moderate scope and complexity. Work under general supervision, special assignments. makes sound technical judgment and overall adequacy Contribute to the completion of specific project milestones Interact primarily with internal personnel and infrequently with inter-organizational and external customers on routine matters Evaluate business objectives to determine stakeholder needs. Choose best fit methods, defines algorithms, validates and deploys models to achieve business results. Perform necessary data preparation and enhancements to models.

Basic Qualifications (Required Skills / Experience)

• 5+ years of programming experience in Python for data analysis, mathematical modeling, machine learning, and automation
• 5+ years of SQL skills for data extraction, transformation, and analysis across operational and analytical datasets
• Statistics, Data Analysis, and Mathematical Modeling - Experience applying statistical methods, mathematical modeling, and analytical techniques to solve business problems, support decision-making, and identify trends or patterns
• Machine Learning - Experience developing, training, and evaluating predictive models using supervised and unsupervised learning techniques
• Natural Language Processing (NLP) - Experience applying NLP techniques to extract insights from text data, build text-based models, or support language-related business use cases

Preferred Qualifications (Desired Skills/Experience)

• Cloud Platforms Experience working in cloud environments such as AWS, Azure, or Google Cloud Platform for data storage, processing, and model deployment
• MLOps / Model Deployment Experience deploying machine learning models into production and monitoring model performance over time
• Advanced Statistical Methods Experience with regression, classification, clustering, hypothesis testing, causal inference, or Bayesian methods
• Deep Learning Experience with neural networks or frameworks such as TensorFlow or PyTorch, especially for NLP, computer vision, or complex predictive tasks
• API Development / Integration Experience using APIs to integrate models or automate data workflows
• Project Management / Cross-Functional Collaboration Experience working with business partners, engineers, analysts, and leadership to define problems and deliver solutions
• Communication of Technical Results Ability to translate complex analytical findings into clear recommendations and actionable business insights
• Version Control / Collaboration Experience using GitLab or similar version control tools in a collaborative development environment
• Domain Knowledge Experience working in complex, data-driven environments such as airlines, manufacturing, logistics, or supply chain is preferred
• Data Visualization and Business Communication Experience using tools such as Tableau, Power BI, Dataiku, or similar platforms to communicate insights to technical and non-technical audiences

Education & Experience

Education/experience typically acquired through advanced technical education (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience

Conflict of Interest

Conflict of Interest: Successful candidate for this job must satisfy the company's Conflict of Interest (COI) assessment process.

Drug Free Workplace

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.

Total Rewards

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

Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $137,700- $186,300

Language Requirements

Language Requirements: Not Applicable

Education

Education: Not Applicable

Relocation

Relocation: Relocation assistance is not a negotiable benefit for this position.

Export Control Requirement

Export Control Requirement: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Safety Sensitive

Safety Sensitive: This is not a Safety Sensitive Position.

Security Clearance

Security Clearance: This position does not require a Security Clearance.

Visa Sponsorship

Visa Sponsorship: Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award.

Shift

Shift: Shift 1 (United States of America)

Job Safety & EEO

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Company Vision

Boeing is committed to protecting, connecting and exploring our world and beyond, safely and sustainably. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment that’s welcoming, respectful and inclusive of every teammate, with great opportunity for professional growth. Find your future with us.