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Work at the forefront of automotive innovation with ZF,
one of the world’s leading automotive suppliers.

Senior System Engineer (Data Scientist)

Location: 

Chennai, TN, IN, 600116

Req ID 35508 SDC Chennai, India

  

Your tasks:

Lead technology innovation projects in the field of advanced analytics, including predictive maintenance and machine learning, for commercial vehicle, transportation & new technology fields applications.

  • Invent and develop new end-to-end system that gather relevant data on embedded systems with resource constraints and fluctuating network access, use cloud computing to create prediction models digital twins.
  • Identify and propose data driven insights from automotive data which can help business to add value to ZF’s customers for existing products. Able to see value of the data driven insights for end customers and influence business teams.

 

Your profile as Senior Data Engineer:

  • Bachelor’s degree or above majored in mechanical, electronic, automotive, aerospace, information/computer science, or similar.
  • Minimum experience of 10+ years in either automotive or embedded domain.
  • 5+ years of experience in data engineering and advanced analytics (including machine learning as well as predictive maintenance)
  • Experience of ML/AI applications on embedded platforms and knowledge on automotive data, networks, sensors would be an added advantage.
  • Knowledge of Design Thinking, Design of Experiments & Proactive Problem-Solving Methodology considered beneficial.
  • Proven team player with international mindset that also has experience building, forming and leading projects teams. Highly self-motivated and self-managed individual, not afraid to do the heavy lifting.

 

 

Be part of our ZF team as Senior System Engineer (Data Scientist) and apply now!

Contact

Jocelin Juliet

 

Our Commitment to Diversity

ZF is an Equal Opportunity and Affirmative Action Employer and is committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.


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