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Automotive Engineer

1 month ago

Singapore LEXBUILD MOTORS PTE. LTD. Full time
Roles & Responsibilities

Job Description

  • Develop battery data analytics processes and visualizations for vehicle programs.
  • Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
  • Data analysis using Python, MATLAB, and R.
  • Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
  • Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
  • Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
  • Fit comp.
  • lex models to multi-factor datasets using Python, MATLAB, R.
  • Model and project the long-term trends of key electric vehicle metrics. Validate results.
  • Apply statistical and machine learning models to understand battery production quality metrics.
  • Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

  • Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
  • Minimum technical knowledge of data analysis methods and success in solving complex problems.
  • Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
  • Real-world experience using Hive to query Hadoop data file structures.
  • Practical knowledge of machine learning and predictive methods.
  • Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
  • Knowledge of high voltage batteries and electrification subsystems.
  • Electrochemistry background.
  • Willingness to learn and quickly adjust to new tools and systems.
  • Capable of converting ambiguous problem statements into concrete project requirements.
  • Proven proficiency in statistical analysis techniques.
  • Practical knowledge of machine learning and predictive methods.

Tell employers what skills you have

Autonomy
Electrical
Securities
Computer Science
Vehicles
Spark
Mechanical
Matlab
Python
Algorithm Design
Hive
Statistics
Data Analytics
Voltage
Automotive Engineering
Power BI
Applied Mathematics
Matplotlib
Commissioning
Data Visualization