Additionally, the applicant must have employment experience with: (1) Cloud environments such as Azure and Databricks, and proficiency in Python for large-scale data analysis in development, testing and production environment; (2) PySpark or Scala, and Python for transformation, modeling, and analysis of high-volume test and experimental data coming from different sources like test benches, vehicle data, simulations and production equipment; (3) Collecting, processing, and analyzing data from multiple internal and external sources to perform root cause analysis related to vehicle dynamics and system performance, identifying improvement opportunities, developing data driven solutions, and validating results through numerical simulations and test data correlation; (4) Performing root cause analysis on production-related troubleshooting through vibration, durability, and hydraulic system data; (5) Machine learning algorithms for classification, predictive maintenance, and test data analysis; (6) Manipulating process and extract insights from large experimental and production datasets; and (7) Hydraulic Systems, Tableau, Power BI, Qlik, PySpark, Scala, Python, Azure, Databricks, Siemens NX and Teamcenter, MS Project, MATLAB, Ansys Fluent, and Abaqus. 10% REQS: This position requires a bachelor's degree or foreign equivalent in Mechanical Engineering, Aerospace Engineering, Computer Science, Informatics, Information Systems or a related field, and 3 years of experience as a Mechanical Engineer, Data Scientist or in an occupation involving data processing, designing mechanical components, testing and validating components.