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Company | Aviya Aerospace Systems |
Address | Mississauga, Ontario, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Aviation and Aerospace Component Manufacturing |
Expires | 2023-08-19 |
Posted at | 9 months ago |
Aviya Aerospace Systems is a leader in engineering services and solutions for mission critical Aerospace and Defense applications. Aviya provides expertise in program management, systems, software, mechanical, and hardware engineering to many of the top-tier Aerospace and Defense Contractors. We have an opening for a Data Analytics Engineer to join our engineering group in Mississauga, Ontario.
- 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.
- Support development and implementation of advanced engine performance condition trend monitoring algorithms for all engine types and models.
- Create change scripts for schema changes using SQL techniques such as joins, CTEs, partitions, and conditional statements.
- Analyze steady state and transient engine trend data in support of engine performance, control, stress, and aerodynamic studies.
- Work as a Subject Matter Expert (SME) and Product Owner, managing stakeholders' requirements and expectations while working with Agile Methodologies, participating in sprints, scrum meetings, and reviews.
- Create and modify data models while translating data requirements into data models.
- Create, validate, and implement advanced aircraft utilization algorithms and engine performance trend monitoring tools to enhance engine maintenance forecasting accuracy.
- Must have strong computer programming skills using the languages such as Python, R, and C#.
- Bachelor, Master or PhD in Mechanical, Electrical, Software Engineering, or Computer Science, or similar fields.
- Extensive experience in advanced ML/statistical techniques such as regression analysis, predictive modeling, time series analysis, classification, clustering, feature reduction, etc.
- Minimum of 3 - 6 years’ experience in analytics or other quantitative disciplines. Any additional aviation experiences will also be considered.
- Proficient in SQL, including joins, CTEs, partitions, and conditional statements
- Proficient at handling several analytical tasks concurrently.
- Familiarity with Microsoft Visual Studio and Jupyter Notebooks.
- Experience with extract, transform, and load (EDL) processes.
- Ability to leverage analytical and quantitative skills to use data and metrics to back up assumptions, compare against physics-based models and complete root cause analysis.
- Experience with SQL and utilizing SSIS and SSAS to analyze large relational databases.
- Strong oral and written communication skills.
- Proficient in modeling and analysis including machine learning, statistical analysis, and data mining.
- Proficient in development and implementation of analytic based algorithms.
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