Jobs

    Automotive Engineer - Singapur, Singapore - LEXBUILD INTERNATIONAL PTE. LTD.

    LEXBUILD INTERNATIONAL PTE. LTD.
    LEXBUILD INTERNATIONAL PTE. LTD. Singapur, Singapore

    4 days ago

    Default job background
    Description
    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 complex 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
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