Experienced Data Scientist

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 Test and Evaluation (BT&E) Quality Team is looking for an Experienced Data Scientist to join our team in Seal Beach, CA; Seattle, WA; or Berkeley, MO. This role will partner closely with Quality personnel to support and enhance BT&E Quality directives, policies, procedures, and metrics to ensure effective deployment of program, contract, customer, regulatory, and international standard requirements.
The ideal candidate brings a strong background in analytics solution development and the ability to apply data science techniques within a Quality Management Systems (QMS) environment. The role includes the development, implementation and maturing analytics solutions for a wide range of quality and operational applications. This includes connecting and integrating data sources, developing backend logic, and delivering user-ready visualization (e.g. Tableau).
Some travel might be required 10%-20% of the time.
Position Responsibilities:

• Modifies and analyzes standardized data sets using analytics techniques such as machine learning, statistical analysis, mathematical optimization and simulation; identifies modeling attributes and parameters; applies algorithms to create descriptive, predictive or prescriptive models to achieve analysis and project deliverables
• Investigates data characteristics, complexity, quality and meaning; develops visualizations and summarizations to define performance and identify trends, outliers and drivers
• Prepares data for analysis, e.g. cleansing, conditioning, transforming, modeling, identifying new feature variables and handling multi-variate data
• Identifies best-fit data science methodology (statistics, machine learning, optimization, simulation) given the data and business applications
• Performs standard procedures in evaluation and verification of correctness and performance of models and analysis
• Supports determination of analysis requirements given business objectives
• Supports determination of decision support needs, matches data to requirements and performance metrics to support analysis
• Monitors production and deployment; prepares decision support visualizations and reports, algorithms, models, dashboards and/or tools
• Analyzes process data, metrics, models and flows to identify root cause of problems
• Participates with stakeholders to develop potential preventive or corrective actions and implementation
• Conducts research, compiles and analyzes performance reports and process control statistics, to continuously improve process capability

This position allows telecommuting. The selected candidate will be required to perform some work onsite at one of the listed location options.
Basic Qualifications (Required Skills/Experience):

• Bachelor of Science degree or higher from an accredited course of study in data science, machine learning, applied statistics, mathematics, computer science, engineering
• 2+ years of experience in data science or analytics
• 2+ years of experience in database management, programming, statistical modeling and/or machine learning (SQL, R, Python, JMP, Tableau, etc.)
• 2+ years of experience in performing statistical analysis

Preferred Qualifications (Desired Skills/Experience):

• Master's degree in data science, machine learning, applied statistics, mathematics, or other analytics oriented scientific field of study
• Experience working with analytics technology stacks; Azure, Google Cloud Platform
• Good organizational, interpersonal, and problem-solving skills
• Ability to adjust priorities to multiple demands and unanticipated events
• Highly motivated and must work well in a team environment
• The ability to communicate effectively, both verbally and in writing
• 3+ years of experience leading or managing projects that involved cross-functional or cross-business unit teams
• Experience working with AS9100 and/or similar QMS standard and/or SMS

Drug Free Workplace:
Boeing is a Drug Free Workplace (DFW) 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.
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: $128,350 - $186,300
Applications for this position will be accepted until Feb. 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
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.