ZF Friedrichshafen AG | Jobs | Tech Lead – Data Scientist | BigDataKB.com | 10-02-22

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    Job Location: Hyderabad

    At ZF Tech Center, India:

     

    • We curiously investigate everything and provide opportunity to solve problems analytically, creatively and collaboratively
    • We believe in learn by doing and provide a space for an entrepreneurial mindset that’s driven by hands-on experimentation
    • We embrace resilience by seeing every challenge as a learning opportunity and invitation to grow
    • We are driven by passion for product excellence for building great products with distinct customer value and apply continuous improvement and innovation

     

    Your Responsibilities as Lead Data Scientist :

     

    • Develop time series predictive models for a range of application areas spanning R&D, Manufacturing, and Supply Chain Management. 
    • Work on all aspects of the analytics solution development from building efficient data pipelines to implementing leading-edge inferential methods
    • Deploy scalable solutions for large datasets
    • Develop high-quality code for analytics software solutions, primarily with the Python data-science stack
    • Stay abreast of new developments in the field of time series modeling and forecasting, with a constant eye on how these innovations can be applied to our problems
    • Work in collaboration with project management to deliver effective and timely solutions
    • Participate in presenting new results and research innovations internally and externally
    • Cultivate and grow ties with academia
    • Mentor interns and new hires

     

    Qualifications

     

    • Experience using Python and data science related libraries such as pandas, NumPy, scikit-learn, seaborn, Stats-Models, Dask, PySpark
    • Good knowledge of a deep learning framework (e.g. TensorFlow, keras, PyTorch) 
    • Good practical knowledge with Sequence Models in Deep Learning, like LSTMs, Transformers, etc. especially in the context of Time Series Forecasting
    • Experience with SQL and relational databases and knowledge of NoSQL databases (e.g. MongoDB).
    • Experience working in cloud environment Azure, Spark, Kafka or similar.
    • Experience developing and deploying predictive models and machine learning algorithms into production environments is desired.
    • Data engineering experience is a must
    • Knowledge of and/or experience in the automotive engineering industry is a plus
    • Strong time management, organizational, and communication skills
    • Experience with containerizing applications using Docker

     

    Education & Experience :

     

    • 4-7 years’ experience
    • BE/MTech/MSc (Computer science/Mathematics/ Physics/Instrumentation)

    Apply Here

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