Senior Data Scientist Featured

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.

The Boeing Company is currently seeking a Senior Data Scientist to join the Boeing Test & Evaluation (BT & E) Business Operations team in Berkeley, MO or Seattle, WA.

The candidate will lead cross-functional teams to define, build, validate, and deploy advanced predictive and prescriptive analytics solutions that drive measurable business outcomes. This senior individual contributor / technical leader will evaluate business objectives, translate stakeholder needs into analytic requirements, choose appropriate methods and algorithms, perform data preparation and feature engineering, and operationalize models into production systems. The role requires strong domain/business acumen, excellent communication and leadership skills, hands-on modeling experience, and proven success deploying production-grade analytics.

Position Responsibilities:

• Define the strategy to build highly reliable and scalable ML and AI solutions that align with the organization’s business goals and objectives

• Lead the creation and implementation of scalable, robust, and high-performance ML architectures including MLOps, AIOps leveraging cloud native services (AWS, Azure, GCP) and open-source frameworks

• Design, build, and optimize machine learning models, ensuring accuracy, efficiency, and scalability

• Partner with product managers, engineers, and business stakeholders to define problem statements, success metrics, and deployment requirements

• Collaborate with data engineers, data architect, software developers, and DevOps teams to integrate ML models into production systems

• Assess and recommend ML tools, frameworks, and platforms to deliver business value and foster innovation

• Monitor and optimize ML models and systems for latency, throughput, and cost-efficiency in production

• Ensure ML systems adhere to ethical guidelines, data privacy regulations, and industry standards

• Design and development of Generative AI and AI use cases (LLMs, RAG, Agentic, multi model AI, fine tuning. Vector databases and prompt engineering)

• Lead organizational change for the adoption of new platforms, machine learning tools and analytics workflows

• Own all communication and collaboration channels pertaining to strategy and assigned projects, including regular stakeholder, senior leadership, and cross-team updates

Basic Qualifications (Required Skills/Experience):

• Ability to obtain a US Security Clearance for which the US Government requires US Citizenship

• Bachelor’s degree or higher

• 5+ years of experience with AI/ML technologies, frameworks, models and ensembles

• 5+ years with container and container orchestration (Docker and Kubernetes)

• 5+ years of experience with data engineering and data pipelines for On-Prem cloud, hybrid data models and data warehouses

• 5+ years of experience with software programming/scripting (such as Python, Unix/Linux type batch scripting, FORTRAN, C / C++)

Preferred Qualifications (Desired Skills/Experience):

• 5+ years of experience in the manufacturing or aviation domain

• 5+ years of experience with big data technologies and data engineering practices

• Experience in multi-cloud and hybrid AI architecture

• Experience with generative AI, NLP, computer vision, or reinforcement learning

• Experience with CI/CD pipelines, DevOps practices and containerized deployments

• Experience with open-source ML projects or publications in relevant fields

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. 

Conflict of Interest:

Successful candidate for this job must satisfy the Company’s Conflict of Interest (COI) assessment process.

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: $162,350– $234,600

Applications for this position will be accepted until May. 12, 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.

Security Clearance

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

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.