Job Location: Everett, WA
At Boeing, we innovate and collaborate to make the world a better place. 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 for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Come join an exciting data analytics team in performing complex data analysis of aviation data as an Experienced Enterprise Safety Data Analytics Engineer in Everett, WA. As modern aircraft produce increasing amounts of data in operations and maintenance, analytics is required to transform that data into actionable insight for Boeing’s engineering and business teams.
The Enterprise Safety Data Analytics team is looking to hire a highly skilled engineering data scientist with knowledge in fields such as advanced statistics, data engineering, and experience with developing customer-oriented reports and visualizations.
These skills will be used to coordinate with other Boeing engineering teams, Airline stakeholders, and other analytics teams in the effort to develop data-driven solutions for the measurement, characterization and analysis of airline operational safety.
As a member of the Enterprise Safety Data Analytics team, the candidate will collaborate with other data scientists and data engineers to analyze data, perform data/feature engineering work, engage with customers, and assist in the growth of a key focus area for Boeing engineering in Safety Analytics. This data analytics is partnered with other analytics organizations across the Enterprise to focus on identifying and solving critical safety needs utilizing in-service data and insights.
The ideal candidate for this role would have:
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A passion for continuous learning, teaching and collaborating
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Experience integrating both internal and external data in order to provide robust recommendations
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The ability to define, build and deploy artificial intelligence and machine learning solutions
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Excellent communication skills that will enable them to work directly with stakeholders and business leaders to scope problems, explain results clearly and address any concerns in terms that can be understood by a non-technical community of stakeholders
Position responsibilities
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Applies an interdisciplinary, collaborative approach to plan, design, develop and verify a lifecycle balanced system of systems and system solutions
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Evaluates customer and /operational needs to define and coordinate system performance requirements, integrate technical parameters and assure compatibility of all physical, functional and program interfaces
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Performs various analyses to optimize total system of systems and/or system architecture
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Performs analyses for affordability, safety, reliability, maintainability, testability, human systems integration, survivability, vulnerability, susceptibility, system security, regulatory, certification, product assurance and other specialties quality factors into a preferred configuration to ensure mission success
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Develops the planning, organization, implementation and monitoring of requirements management processes, tools, risk, issues, opportunity management and technology readiness assessment processes.
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Resolves cross-functional technical issues
This position allows telecommuting. The selected candidate will be required to perform some work onsite at the listed location.
This position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee.
Basic Qualifications (Required Skills/Experience):
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Bachelor, Master or Doctorate of Science degree from an accredited course of study, in engineering, computer science, mathematics, physics or chemistry
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5+ years of engineering experience
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5+ years of experience in database management, programming, statistical modeling and/or machine learning (SQL, R, Python, JMP, Tableau, etc.)
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Experience working in the field of Artificial Intelligence including Machine Learning
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Programming experience in one or more of the following: Java, R, Python, SQL
Preferred Qualifications (Desired Skills/Experience):
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The successful applicant’s technical experience will include a few of the following attributes:
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Experience with Data Analytics that provide deeper learning opportunities
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Experience developing and deploying applications that utilize Artificial Intelligence/Machine Learning techniques
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Familiarity with the safety data ecosystem related to product safety
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Strong airplane technical knowledge, Engineering Liaison background a plus
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Some familiarity and background with the art of what is possible using IT tools and visualization techniques
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Experience participating on or leading Agile/Scrum teams
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2+ years work experience or relevant coursework training machine learning models in a cloud computing environment such as: AWS, Google Cloud Platform, Microsoft Azure, etc
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Experience working with analytics technology stacks; Azure, Google Cloud Platform (GCP), Teradata, etc
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Good organizational, interpersonal, and problem solving skills
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Ability to adjust priorities to multiple demands and unanticipated events
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Highly motivated and must work well in a team environment
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The ability to communicate effectively, both verbally and in writing
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Ability to work effectively with diverse engineering teams across the enterprise
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Intrinsic aptitude for taking initiative, leading cross functional teams and complex projects
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Ability and willingness to take ownership of work activities to ensure they are completed accurately, efficiently, and in a timely manner.
Typical Education & Experience:
Bachelor’s degree and typically 5 or more years’ experience in an engineering classification or a Master’s degree with typically 3 or more years’ experience in an engineering classification or a PhD degree with experience in an engineering classification. Bachelor, Master or Doctorate of Science degree from an accredited course of study, in engineering, computer science, mathematics, physics or chemistry. ABET is the preferred, although not required, accreditation standard.
Relocation:
Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.
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.
Shift Work Statement:
This position is for 1st shift
Union:
This is a union-represented position.
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.
Please note that the salary information shown below is a general guideline only. Salaries are based upon candidate experience and qualifications, as well as market and business considerations.
Summary pay range: $104,550 – $141,450
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.
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