Job Overview Data Scientist (Mississauga ON). On‑site, 5 days a week. 12‑month renewable contract. 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. Responsibilities 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 Qualifications Bachelor"s degree in mathematics, computer science, mechanical, aerospace, or related field. Proficiency in multiple of the following programming tools: Python, SQL, C++/C#, MATLAB, Server Integration Services (SSIS) packages Proficiency in exploratory data analysis and data visualization tools such as Excel, PowerBI, Databricks, and AWS Lambda Comfort in collaborative development using source code control (git) and CI/CD deployments Proficient in MS Office, especially in Excel Proficiency in communicating in English Beneficial Skills Experienced with Amazon AWS and Databricks cloud-based deployments Experience in turbomachinery performance modeling (i.e., SOAPP, FAST, NPSS, etc.) Experience supporting turbomachinery testing, data collection, or data reduction Experience in 6s Statistical Process Control and Six Sigma #J-18808-Ljbffr