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Job Description
Required Education
Minimum Bachelor's degree in an accredited Engineering curriculum:oMechanical EngineeringoElectrical EngineeringoComputer EngineeringoComputer ScienceoAnalytics
Alternative:
Master's degree with at least 6 months of internship experience
Disqualifier:
Associate degree only (no Bachelor's degree)Required Skills
Python
SQL•MATLAB•Machine Learning (ML) / Artificial Intelligence (AI)•AWS Cloud Computing•Data visualization tools: Tableau or Power BI•Statistical and analytical methods•Experience working with various DatabasesSoft Skills•Collaboration•Communication skills (ability to present technical information accurately and concisely)•Problem solving•Ability to work in agile or digital NPI processes•Ability to quickly research new analytics techniquesDomain Knowledge (Desired)•Engine domain knowledgeThis position is accountable for contributing to the concept, development, and design of complex algorithms, analytical models, or applications that use product data.
The role performs complex analysis work, identifies design problems, and resolves problems. Incumbents may work directly with different units, suppliers, customers, and other teams.
Primary Responsibilities
Identify opportunities to solve problems in the functional area through the use of analytical models
Help analysts on a team design, develop, and test predictive and prescriptive analytic algorithms and tools using telematics data
Enhance product performance and efficiency within engine development
Provide customers with value-added services, recommendations, and optimized solutions for their engines, equipment, and job sites
Develop data mining processes and tools for engine data collection, aggregation, feature extraction, analytics modeling, and reliability or durability forecasting
Support engineering design, simulation, CPI, and NPI
Work with various other team members
Execute data analytics projects and present results to internal customers
Develop and publish dashboards
Make enhancements to digital tools
Adopt DevOps processes
Build Machine Learning models for engine health condition monitoring
Quickly research new areas of analytics techniques and algorithmic approaches needed for meeting customer requirements
Environment:
7 team members in the USA
12 team members in India
Global collaborative work environment
Only those lawfully authorized to work in the designated country associated with the position will be considered.
Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.