Senior Engineer, Data Analytics
7 days ago
Unspecified Who we are: At Pratt & Whitney, we believe that powered flight has transformed – and will continue to transform – the world. That’s why we work with an explorer’s heart and a perfectionist’s grit to design, build, and service the world’s Military Engines most advanced aircraft engines. We do this across different portfolios – including Commercial Engines, Business Aviation, General Aviation, Regional Aviation, and Helicopter Aviation – and as a way of turning possibilities into realities for our customers. This is how we at Pratt & Whitney approach our work, and this is why we are inspired to go beyond. Job Description: The Engine Diagnostics, Prognostics and Health Management team (DPHM) is dedicated to providing end to end solutions to improve aircraft reliability while reducing operating costs. The selected candidate will generate/implement algorithms that monitor automatically monitor critical flight parameters, alert for anomalies, and provide visibility to events or exceedances. This helps the operator to make informed decisions about preventive maintenance, thereby reducing unscheduled maintenance, lowering operating costs, and increasing aircraft availability. DPHM’s advanced diagnostic solutions provides true value-added benefits that enable the operator to determine the best time to undertake maintenance on the engine and airframe. This can minimize costs by allowing for component repair instead of replacement and maximize engine time on wing. Essential Duties/Tasks of Position: -Support development of advanced engine performance condition trend monitoring algorithms -Analyze steady state and transient engine trend data in support of engineering studies -Support QCPC & field investigations related to turbine engine Performance, Operability, Control, and Mechanical subsystems -Perform performance deterioration studies of engines operating in service -Develop and implement scripts, algorithms, machine learning, data clustering and fault classification techniques within a relational database structure to manage, aggregate, and search data in support of advanced diagnostics and prognostics. -Implement and maintain analytic dashboards and Power BI solutions Required qualification and skills: - Bachelor/Master of Science in Aerospace or Mechanical Engineering with minimum 5-8 years of engineering experience required in field of aviation. - Experience in turbomachinery performance modeling (i.e., SOAPP, FAST, NPSS, etc.) - Experience supporting turbomachinery testing, data collection and/or data reduction - Knowledgeable of Six Sigma Statistical Process Control methods - Strong computer programming skills using the languages Python, R, C++, and/or C# (SSIS) - Familiar with data visualization techniques using (i.e., Matplotlib, HighCharts and/or PowerBI) - Proficient in MS SQL, MySQL and/or PostgreSQL - Proficient in MS Office, especially in Excel - Good oral and written communication skills Beneficial Skills: - Experience specifically with Turboprop/Turboshaft engine performance characteristics - Knowledge of DataBricks - Knowledge ow AWS and related services What we offer Long-term deferred compensation programs Daycare for young children Advancement programs to enhance education skills Flexible work schedules Leadership and training programs Comprehensive benefits, savings, and pension plans Financial support for parental leave Reward programs for outstanding work
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