Asst Manager / Sr. Engineer - Data Scientist Prognostics

In India, Bosch is a leading supplier of technology and services in the areas of Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. Additionally, Bosch has in India the largest development center outside Germany, for end-to-end engineering and technology solutions. The Bosch Group operates in India through twelve companies: Bosch Limited – the flagship company of the Bosch Group in India – Bosch Chassis Systems India Private Limited, Bosch Rexroth (India) Private Limited, Bosch Global Software Technologies, Bosch Automotive Electronics India Private Limited, Bosch Electrical Drives India Private Limited, BSH Home Appliances Private Limited, ETAS Automotive India Private Limited, Robert Bosch Automotive Steering Private Limited, Automobility Services and Solutions Private Limited, Newtech Filter India Private Limited and Mivin Engg.Technologies Private Limited. In India, Bosch set-up its manufacturing operation in 1951, which has grown over the years to include 16 manufacturing sites, and seven development and application centers. The Bosch Group in India employs over 30,500 associates and generated consolidated sales of about Rs. 26,827 crores (3.1 billion euros) in fiscal year 2021-22 of which Rs. 24,406 crores (2.8 billion euros) are from consolidated sales to third parties. Bosch Limited is the flagship company of the Bosch Group. It earned revenue of over Rs. 11,782 crores (1.39 billion euros) in fiscal year 2021-22.
Additional information can be accessed at www.bosch.in

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.

• 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)
• 3-5 years of experience in developing predictive models using statistical and machine learning techniques

• Advanced knowledge in machine learning & data analytics: algorithms, techniques, and libraries such as scikit-learn, 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