Vacancy expired!
As a Customer Support Organization, we are expanding our Fleet Health Monitoring predictive/proactive capabilities through increased data collection, analytics and providing support for our Customers on high priority fleet issues using data and system knowledge to optimize aircraft utilization. The Boeing Company is seeking four Diagnostic Algorithm and Trend Analysis (DATA) Team engineers to support Boeing Commercial customers in Seal Beach, California. Boeing Commercial Airlines (BCA) Customer Support organization is launching a new Diagnostic Algorithm and Trend Analysis (DATA) Team to accelerate Boeing’s capabilities with airplane data and provide value to the airline customers. The DATA Team members will work to meet customer’s expectations of capabilities on Boeing’s newest models and will also focus on how to utilize the data provided by new airplane functionality being introduced into current and future Boeing models. The DATA Team will integrate tools, processes, and people who are focused on using data to provide superior customer support to our airlines customers. As part of the Customer Support Diagnostic Algorithm & Trend Analysis (DATA) team, you will work on the utilization all forms of data received from Boeing airplanes, including Aircraft Communications Addressing and Reporting System (ACARS), Airplane Condition Monitoring System (ACMS) Reports, Airplane Health Management (AHM), as well as Flight Data Recorder (FDR) and Quick Access Recorder (QAR) to develop predictive algorithms to avoid component failures and proactive algorithms for preventative maintenance to avoid Schedule Interruptions, Air Turn Backs and Airplane On Ground situations. The successful candidate will have strong verbal and written communication skills in addition to project management and integration experience. Familiarity and knowledge of Avionics, e-Enabling, Electrical, Mechanical, or Propulsion Systems is required. Experience in Customer Support with existing Boeing tools such as My Boeing Fleet, Maintenance Toolbox, Airplane Health Management (AHM) is desired. Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers and for the world. Position Responsibilities: Develops tools and processes to store, access, and analyze airplane data Research Avionics, e-Enabling, Electrical, Mechanical, or Propulsion technical and operational in-issues that are being experienced by our customers that could be candidates for Diagnostic Algorithm & Trend Analysis Develops predictive algorithms for component failures Develop proactive algorithms for preventative maintenance Leads and directs cross-functional teams to perform analysis of airplane data, with the goal of predicting component failure and initiating preventative maintenance Leads development of advanced fault isolation using airplane data Builds airplane data analysis capabilities across the Customer Support organization Develops next generation data analysis tools for data trending and analysis Steer future development programs with data acquisition Required Quallificiations Bachelor's Degree or higher in an engineering or scientific discipline. Preferred Qualifications (Desired Skills/Experience): A minimum of 3 years of experience working directly with 737 aircraft is preferred Ability to work with cross functional teams Willingness to expand into technical areas without prior experience Experience working with data and trending analysis Engineering on 7-series aircraft programs 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. 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.
Vacancy expired!