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.ResponsibilitiesSupport development of advanced engine performance condition trend monitoring algorithmsAnalyze steady state and transient engine trend data in support of engineering studiesSupport QCPC & field investigations related to turbine engine Performance, Operability, Control, and Mechanical subsystemsPerform performance deterioration studies of engines operating in serviceDevelop 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 solutionsRequired QualificationsBachelor"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) packagesProficiency in exploratory data analysis and data visualization tools such as Excel, PowerBI, Databricks, and AWS LambdaComfort in collaborative development using source code control (git) and CI/CD deploymentsProficient in MS Office, especially in ExcelProficiency in communicating in EnglishBeneficial SkillsExperienced with Amazon AWS and Databricks cloud-based deploymentsExperience in turbomachinery performance modeling (i.e., SOAPP, FAST, NPSS, etc.)Experience supporting turbomachinery testing, data collection, or data reductionExperience in 6s Statistical Process Control and Six Sigma#J-18808-Ljbffr