Data Scientist (Data Science)

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 Defense, Space & Security (BDS) has an exciting opportunity for a Mid-Level Data Scientist - GenAI to join our team located in Seattle, WA or Arlington, VA.

We are seeking a skilled and innovative Data Scientist to contribute to the development and optimization of advanced AI, Machine Learning (ML), and Generative AI (GenAI) models within BDS. This role offers the opportunity to learn and grow your skills in ML and large language models (LLMs). You will work closely with senior data scientists and cross-functional teams to contribute to AI-driven applications in our organization.

Successful candidates will have:

• Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Experience in developing GenAI solutions in regulated industries.
• Familiarity with GPU compute infrastructure and distributed model training.
• Familiarity with container technologies (e.g., Docker, Kubernetes).

Why Join Us:

• Shape the direction of generative AI in a mission-critical organization.
• Collaborate with a world-class team of engineers, scientists, and domain experts.
• Access to cutting-edge infrastructure, models, and research partnerships.
• Competitive compensation and leadership opportunities in the AI domain.

Position Responsibilities:

• Contribute to the development and deployment of models.
• Design and implement pipelines for model fine-tuning and evaluation.
• Develop prompt engineering strategies and embedding techniques to enhance model performance.
• Prototype applications that address specific business needs.
• Assist in model performance evaluation and bias/fairness assessments.
• Collaborate with MLOps and engineering teams to support model scaling and monitoring.
• Share knowledge of AI/ML/GenAI tools and trends with the team and contribute to best practices.

This position is hybrid. The selected candidate will be required to perform some work onsite at one of the listed location options.  This is at the hiring team’s discretion and could potentially change in the future.

This position is for 1st shift.

This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required.  “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee. 

Basic Qualifications (Required Skills/Experience):

• Bachelor’s degree in computer science, Machine Learning, Applied Mathematics, Computer Engineering, Software Engineering, Artificial Intelligence, Physics or a closely related field.
• 3+ years of experience in data science or machine learning.
• 3+ years of experience in programming in Python and familiarity with data engineering workflows (e.g., Spark, Airflow, SQL).

Preferred Qualifications (Desired Skills/Experience):

• Master's or PhD in Computer Science, Machine Learning, Applied Mathematics, Computer Engineering, Software Engineering, Artificial Intelligence, Physics or a closely related field
• Experience fine-tuning open-source models and integrating APIs from commercial providers.
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Experience in AI ethics and governance in generative models.
• Experience with data engineering tools (e.g., SQL, Spark

Typical 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 (e.g. PhD, Master+3 years' related work experience, 9 years' related work experience, etc.).

Relocation:

Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.

Travel:

Position may require travel up to 10% of the time.

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.

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:

$137,700-$186,300

Applications for this position will be accepted until May. 26, 2026

Export Control Requirements:

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.

Export Control Details:

US based job, US Person required

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.