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    Data Scientist - Bangalore, India - Domniclewis

    Domniclewis
    Domniclewis Bangalore, India

    Found in: Talent IN 2A C2 - 3 days ago

    Default job background
    permanent Technology / Internet
    Description
    Data Scientist - Automotive Industry

    Domnic Lewis has been mandate to hire a Data Scientist for a Leading Product Based Company.


    Responsibilities :

    • You will work in agile teams through good collaboration with our colleagues in software development and design teams all around the world.
    • You along with the team will be responsible for understanding customer usage and performance of our products and for providing our solutions throughout entire product life cycle, from idea investigation and concept evaluation to industrialization and to aftermarket and maintenance.
    • You will make meaningful interpretations, recommendations and eventually predictions from the Data available from various sources to support our endeavor in moving towards Data Driven Powertrain Development
    • You get the opportunity to follow your Data Driven Models from script to test cell to verification in a truck and eventually to being used by our end customers.
    Hands-on working knowledge and experience is required in :

    • If you are a Master's Degree holder in Engineering with fantastic analytical skills, have gained a strong domain understanding in Powertrain Engineering with proven skills in handling and analysing large set of data to make meaningful interpretations
    • Should have experience in Product development and the Data Scientist experience.(Python, ML, Data Modelling for Engineering development projects) if you believe that you can work smoothly with tools like Python (including libraries like Numpy, SciPy, Pandas, Tensorflow), R, SQL, Git, Azure, Hadoop and Matlab/Simulink, pySpark, C/C++/ Scala then you can be a good fit into this role.
    • Experience of working with relational databases, data privacy and understanding of IOT based instrumentation design with additional data logging to build or validate models is a big plus.
    • A passion for turning data into knowledge with great visualizations using Power BI, QlikView, Tableau and an experience of working with plant/ component models
    )
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