Boeing
Job DescriptionAt 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.
Were committed to fostering an environment for every teammate thats welcoming, respectful and inclusive, with great opportunity for professional growth.
Find your future with us.Creating new analytics models to provide as aftermarket services for our military customers is at the heart of what this position will require.
Designing and developing machine learning models using a wide-array of methods, you will create solutions that empower users of our aircraft with unique insight.
Interacting with customers to formulate their needs into specific requirements and deliverables will be a key part of the job.
Working with systems and software engineering to make those visions a reality will be another key aspect of this position.
Together with our larger team, you will work with cutting edge analytics tools to create solutions that help manage the health and operations of aircraft for users across the world.The successful candidate will have a strong data science background, with proven experience in a wide variety of data science techniques and approaches.
Performs data analysis integral to the research, development, test and evaluation of company products or manufacturing processes.Investigates and applies best fit methods and algorithms, validates results and performs necessary data preparation and enhancements to models.Robust knowledge of data cleansing techniques is important.Knowledge and experience using machine learning is foundational to this position.Experience using Python is critical, however knowledge of other programming languages such as R is also desirable.
Experience with data visualization software such as Tableau is also helpful, as is prior aviation and engineering knowledge.Excellent communication and teamwork ability are critical for success.This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship.
Post start secret clearance required.Basic Qualifications (Required Skills/Experience):Bachelors degree in Mathematics, Computer Science, Engineering, Physics or similar disciplineTwo years of relevant experienceProficiency using Python on data science applications Preferred Qualifications (Desired Skills/Experience): Advanced degree in Data Science, Engineering, Computer Science, Mathematics, or another similar technical background is preferred.Advanced understanding of military aircraft systemsEngineering domain knowledge relating to aircraft maintenance, design, or testing are desirable.Understanding of software engineering development processes and tools.Familiarity with Condition-based maintenance techniques.Experience with project management, including with agile development techniques.
Relocation:Relocation available based on candidate eligibilityTypical Education / Experience:Degree and typical experience in engineering classification: Bachelor’s and 5 or more years’ experience, Master’s degree with 3 or more years’ experience or PhD degree with experience.
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.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.Vaccination Requirements:Boeing is implementing new requirements for employees to be fully vaccinated from COVID-19 or have an approved reasonable accommodation based on local legislation in several countries.
Please refer here for current vaccination and/or reasonable accommodation requirements, and timelines based on location.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.by Jobble