To design and implement predictive models to enhance vehicle safety performance and reliability while reducing operational costs and downtime for automotive manufacturers and fleet operators.
Qualifications :
- Bachelors degree in engineering (Automobile Engineering/Mechanical/E&E/E&C) or Masters degree in engineering (Data Science Computer Science Statistics or a related field)
- 35 years of experience in developing predictive models using statistical and machine learning techniques
Additional Information :
- Advanced knowledge in machine learning & data analytics: algorithms techniques and libraries such as scikitlearn TensorFlow Keras and PyTorch
- Competent knowledge in programming languages such as Python
- Advanced of the automotive industry vehicle subsystems and experience in collecting and processing data from different sources sensors and telemetry systems.
- Competent knowledge in data visualization tools such as Tableau PowerBI and Matplotlib
- Advanced knowledge in Agile methodologies (Scrum and Kanban)
- Advanced data management skills
- Advanced communication and collaboration skills
Remote Work :
No
Employment Type :
Fulltime