Data Analyst (Powertrain Solutions) R&D, Cluj
Bosch Group
Cluj-Napoca, Romania
8 zile în urmă
Company Description

Welcome to a place where your ideas lead to something big. Welcome to Bosch. Whether in the area of mobility solutions, consumer goods, industrial technology or energy and building technology – with Bosch, you will have the chance to improve quality of life all across the globe. At Bosch, we develop, examine and enhance new systems, components and technologies. Our aim is simple – improving life.

We develop software solutions for control units and offer services for the whole Power Train. We work on new topics like Cyber Security, Virtual/Augmented Reality and Vehicle Electrification, as well as on existing solutions for combustion Engine Control Units and Tool Development for supporting the automotive SW development process. You will shape our IT-Environment, which enable our State-of-the-Art technologies to be integrated in a reliable IT-Ecosystem, and support our business partners within the whole international Bosch-Group to develop their digital business-models and processes. Your tasks will shape the development of a world-wide IT- infrastructure, Web applications and various app developments for SW Platforms and specific solutions.


Job Description

Your contribution to something big

  • As Data Scientist you will work in an international team and you will be responsible for the design, development and testing of analytical solutions based on large data streams in (near-) real-time for the international Bosch production facilities.
  • During the business understanding process you will be responsible for clarifying the customer requirements and identifying potential use-cases.
  • You will work together with process experts in order to define and describe the required data sources. These include everything from databases, flat text files, semi-structured logs, individual machine messages and sensor event streams to images from different optical tests.
  • Together with your data engineer colleagues you will define the data models and assure the data quality through the necessary checks and transformations.
  • You will perform advanced data analysis by utilizing a variety of statistical, machine learning, pattern recognition, and artificial intelligence algorithms, including neural networks, decision trees, logistic regression, clustering and others.
  • You will be responsible for the development and maintenance of data mining solution libraries, visualisation of data and analytics results,
  • You will support the transfer of the analytics results into the business process of the worldwide Bosch network. This includes the integration of data from our suppliers and the forwarding of data to our end-customers (automotive and consumer electronics).
  • You will apply new approaches as a direct result of your own initiative that results in a better solution, increased quality and/or greater efficiency. Be creative and pro-active!
  • You will be involved in collaborations with domain specific specialists within international data mining and research projects.

  • Qualifications

    What distinguishes you

    Minimum requirements:

  • Solid background in statistics
  • Applied knowledge in machine learning / data mining or in physics / engineering
  • Applied knowledge of scripting languages (Python, R, SQL etc.) and in using of statistics and data mining software packages (IBM SPSS, SAS, KNIME)
  • Ability to rapidly understand, analyze and find solutions to complex problems and present these.
  • Independent and self-responsible way of working
  • Advanced English (German and other language skills are an advantage)
  • Willingness to travel
  • Highly desired skills:

  • Job experience in data mining, data analytics or as a process or quality engineer in a production environment
  • Project experience in the development of data analytics solutions for industrial applications
  • Capability to develop complex, efficient and scalable data driven solutions in a big data environment (Hadoop ecosystem)
  • First experience with data visualization tools (Tableau, Shiny, etc) is an advantage


  • Additional Information

    Benefits:

  • Performance-based bonus system
  • Home office possibility & flexible working time
  • Flexible benefits & services (such as lunch dis counts, sport discounts, medical services etc.)
  • Recreational areas (library, (computer) games)
  • 25 vacation days from the start
  • An innovative environment within a young team

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