Data Scientist for (e-)Mobility Cloud Solutions, Engineering Center, Cluj / Bucharest

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Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Whether in areas of Automated Driving, Electric & Connected Mobility, IoT, or Connectivity, our ideas make driving safer and more comfortable than ever before. This is only possible with the help of more than 1000 talented engineers from the Bosch Engineering Center in Cluj, specialized in software, hardware, mechanics, and reliability engineering, who work closely together with other Bosch Engineering Centers and the Bosch Cluj Plant. We offer unique products and AIoT solutions to our clients around the world.

So, are you ready to shape the future of mobility with us? Let us tell you more. Our promise to our associates is unshakeable: we grow together, we enjoy our work, and we inspire each other. Join us and feel the difference.

Job Description

We are currently seeking a Data Scientist to join our team, with a mission to turn data into knowledge and enable digitization across all fields of business.

As a Data Scientist, you will design, develop, and operate solutions that integrate data, process it, and consume it via AI or data science algorithms on-premise, Big Data or cloud-based platforms. Our projects can range from complex reporting tools, data pipelines for data acquisitions from electronic control units in cars or sensors in wearables, to full-stack AI applications like automated optical inspection, event detection. If you feel like being part of such a group, you might be a perfect match for our team.

In your role, you will:

  • Develop and apply statistical, data mining, machine learning, and AI algorithms.
  • Create data products for use cases from different domains from computer vision to product development in the area of Industry 4.0 and IoT.
  • Work with a wide variety of data sources: from databases, log files to sensor event streams, or images.
  • Develop and maintain data mining solution libraries, data visualizations, and analytics results.
  • Actively participate and take responsibility in each phase of the CRISP-DM cycle.
  • Work in a multi-cultural distributed team.
  • Take part in the development and use of leading-edge technologies.

Technology Stack

  • Python, PySpark, and SQL.
  • RDBMS: Oracle, SQL Server, etc.
  • Data visualization: Tableau, Shiny, Mat, etc.
  • Databricks/Azure.
  • Hadoop.

Qualifications

  • Technical degree (Computer Science, Mathematics, Physics) or comparable.
  • Strong background in statistics, data mining, machine learning, and AI.
  • Experience with Python and SQL.
  • Familiar with Database management and handling (RDBMS: Oracle, SQL Server, etc).
  • Experience with data visualization tools (Tableau, Shiny, etc).
  • Good understanding of data structures and algorithms.
  • Experience with ETL procedures.
  • Passionate about data mining with an engineering mindset.
  • Good communication, strong analytical skills, team oriented, initiative, perseverance, and attention to detail.

Nice to have:

  • Understanding of the design and architecture of big data applications and experience with Hadoop ecosystems.
  • Project experience in the development and operation of complex data architectures.
  • Experience in computer vision, image processing, or deep learning.
  • Familiarity with software documentation, tracking (ex: Jira), and versioning tools.

Additional Information

Ways of Working

Hybrid working is the new way of working! We offer unique and cozy office spaces, but you can also work from home if you prefer (70% remote work). We offer our #LikeABosch benefits:

  • 25 days of annual leave
  • Medical subscription
  • Accident insurance
  • A monthly budget which can be used for various services through an online benefit platform
  • Annual bonus
  • Relocation bonus
  • Lunch discounts
  • Sports activities and well-being initiatives
  • Technical and soft skills training sessions
  • Access to e-learning platforms
  • Local and Global career development programs
  • Bookster subscription