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 thatโ€™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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