Data Analyst/Scientist for Electronic Control Units

Company Description

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology – with us, you will have the chance to improve quality of life all across the globe.

 Welcome to Bosch. 

The Bosch Engineering Centre of Budapest has been established in 2005. Today, it is a major research and development hub within the Bosch world focusing on the big mobility trends: automated, electrified and connected mobility. More than 2400 engineers are working together on complex automotive products within various fields of engineering from software to mechanical and hardware product development. Your ideas will be part of products improving the life across the globe.

Job Description

The Automotive Electronics (AE) division develops new electronic control units and a wide range of sensors in close cooperation with manufacturing. These products are engineered to a state of the art level both in technology and reliability and are to be found in cars of a very large group of manufacturers. The AE/EDA-Bp department develops mechanical design and takes care of industrialisation for the product portfolio. The data analytics team of the department covers use cases like optimisation in product development, supports technical problem solving projects and runs data driven optimisation projects with the production area. The team covers the following tasks, the members specialize in one or more some of the topics below:

Tasks:

► Perform root cause analysis and support corrective measure implementation using 8D, problem solving methods and LL

► Initiate open discussions, provide clear communication and answers with your data, deliver results according to project timelines and quality expectations, and create reports in English

► Collaborate and share methodologies actively with your internal and external partners in manufacturing, and sensor development (e.g. validation and reliability engineers, data engineers/analysts). Cooperate in an international team.

► Analyse big datasets acquired during the development and production of automotive ECU’s, choose the proper machine learning algorithm to produce smart solutions and to improve decision making considering customer specifications, reliability theory, automotive standards and legal regulations

► Design and optimize both data acquisition process and data analytics workflows

► Continuous improvement of analytic workflows regarding performance based on user feedback

Qualifications

Expectations:

► Degree in computer science, mechatronics, electrical engineering, physics or comparable

► Strong programming skills in Python (pandas, numpy, scikit-learn, tensorflow, keras) and SQL

► Strong background and experience in data mining workflow and development of machine learning algorithms

► Good communication and presentation skills, fluency in English

► Excellent statistical, analytical and problem solving skills

► Version control knowledge (git)

► Precise working style, good planning, time management and organizational skills, active tracking of tasks

► Ability to work individually and in international teams, sharing ideas

► Be self-initiative, open, innovative and have a growth mindset

Preference/Preferred Knowledge/Skills:

► Relevant experience in engineering field

► Experience with APIs of the Hadoop ecosystem

► MATLAB, C#, Scala Programming skills

► Experience with business intelligence tools (e.g Tableau, Spotfire, PowerBI)

► Experience with cloud computing (Azure)

Additional Information

Your future job location offers you:

flexible work-time options | benefits and services | childcare offers | medical services | employee discounts | various sports and health opportunities | on-site parking | catering facilities | good access to local public transport | room for creativity | urban infrastructure

If you require any further information, please feel free to contact us on the following number: +36 80 18 08 01. Our colleagues can help you with answers during the weekdays between 08:00 a.m. till 16:00 p.m.