Engineering Data Scientist (Senior or Lead)

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 Customer Support Analytics team is looking to hire an Engineering Data Scientist (Senior or Lead) in Seal Beach, California.
Position Overview:
The Boeing Customer Support Analytics team is looking to hire an Engineering Data Scientist (Senior or Lead) in Seal Beach, California to lead a high-performing analytics team, mentor junior engineers, and shape our organizational AI strategy and infrastructure. The ideal candidate combines deep technical expertise in machine learning and data engineering with state of the art technologies and proven leadership skills to drive model development, deployment, and ability to operationalize at scale. This role will partner with cross-functional stakeholders to define AI roadmap, establish best practices, and build robust, production-ready systems that deliver measurable business impact. Our teams are currently hiring for a broad range of experience levels including Engineering Data Scientist (Senior or Lead).
Primary Responsibilities:

• Collaborate on and execute the organization's AI strategy and roadmap, aligning models and projects to business goals and KPIs.
• Prepare and present technical roadmaps, progress updates, and risk assessments to senior stakeholders.
• Architect scalable ML infrastructure and production pipelines (data ingestion, feature engineering, model training, deployment, and monitoring).
• Drive continuous improvement by evaluating new tools, frameworks, and methodologies and introducing them where appropriate.
• Provide technical leadership to a team of engineering data scientists, set priorities, drive delivery of AI initiatives.
• Mentor and develop junior engineers through coaching, code reviews, career planning, and hands-on technical guidance.
• Collaborate with product, engineering, and business stakeholders to identify high-impact use cases and translate requirements into technical solutions.
• Ensure robust security, access controls, and cost-effective cloud/on-prem resource utilization for AI workloads.
• Establish and enforce best practices for model development, testing, versioning, CI/CD, and reproducibility.
• Monitor production and deployment; prepares decision support visualizations and reports, algorithms, models, dashboards and/or tools.
• Own model governance, explainability, bias mitigation, and compliance with regulatory and privacy requirements.
• Oversee data quality, lineage, and the creation/management of feature stores and shared data assets.

Work Authorization:
This position is expected to be 100% onsite. The selected candidate will be required to work onsite at the Seal Beach, California location.
Basic Qualifications (Required Skills/ Experience):

• Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement.
• 9+ years experience in data science, data analytics, data engineering, AI/ML, ETL.
• Experience leading cross-functional teams to determine, define and deploy complex descriptive, diagnostic, predictive, or prescriptive analytic solutions.

Preferred Qualifications (Desired Skills/Experience):

• Master's degree in data science, machine learning, applied statistics, mathematics, or other analytics oriented scientific field of study.
• 14+ years experience in data science, data analytics, data engineering, AI/ML, ETL.
• Experience working with full analytics technology stacks; Azure, Google Cloud Platform (GCP), Teradata, Databricks, API, etc.
• Experience developing integrated analytics strategies and capability roadmaps.

Conflict of Interest:
Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.
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.
Union:
This is not a union-represented position.
Pay and 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:

• Senior (Level 4): $173,400 - $234,600
• Lead (Level 5): $218,450 - $295,550

Applications for this position will be accepted until Jul. 11, 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
Education
Bachelor's Degree or Equivalent Required
Relocation
This position offers relocation based on candidate eligibility.
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.