Working Student Data Scientist

About Bosch Engineering Center Cluj

Since its establishment in 2013, Bosch Engineering Center Cluj plays an essential role in the current transformation of the mobility sector. Through its extensive expertise in software, hardware & mechanical engineering, reliability engineering, as well as sales planning, the center contributes to the development of innovative products and services based on artificial intelligence (AI) applied in the fields of  automated driving, electric and connected mobility.  Thanks to the diverse professional and personal development opportunities, flexible working conditions, modern offices and laboratories in Cluj-Napoca, Jucu, Bucharest and Sibiu, we are one of the most desired employers among engineers and IT professionals in Romania.

Our promise to our colleagues is rock-solid: we grow together, we enjoy our work, and inspire each other. Join us and see the difference.

Work LikeABosch

Job Description

We are looking for university students that are interested in gaining experience in Data Science.
 
As a  Working Student in the Data Science group, you will work with us on creating data-driven products and service development for mobility area. Smart services for mobility are also provided in the context of creating high performance teams working together with an internationally distributed team, in a hybrid working model. Become part of our team and join us in creating state of the art data products.

As a member of our team you take part in topics such as: 

• Develop and apply statistical, data mining, machine learning and AI algorithms;
• Create data products and services for use cases from different domains of Mobility Area where you will use various data types from images, sensor data, unstructured text to solve real life problems;
• Work with a large variety of data sources: from databases, log files to sensor event streams or images;
• Develop and maintain the data science solution libraries, data visualizations and analytics results;
• Have active participation and responsibility in each phase of the CRISP-DM cycle.

Qualifications

• Bachelor or master’s studies in progress in Computer Science, Automation, Information Theory, Informatics, Mathematics or comparable fields;
• Worked with: Python, PySpark, SQL;
• Basic knowledge/heard of: Large Language Models, Cloud Computing, Azure, Mongo, SQL, Docker, Pandas, Numpy, Seaborn, etc.;
• Contact with version source control (e.g. Git, Bitbucket);
• Know-how from the following fields: Data mining and Statistical Analysis, Data Visualization, Machine Learning, Artificial Intelligence, Data preprocessing;
• You are genuinely curious to solve real life problems, understand capabilities of new technologies, create useful digital products and services.
• Excellent communication skills in English, both spoken and written are mandatory.

Additional Information

LikeABosch Benefits:

Your work-life balance is valuable to us, so we offer you:

• 25 Days of annual leave , because work-life balance is essential to us;
• Flexible working hours  and if you want to work from somewhere else than the office, our  Home Office  program helps you do that for up to  70% of your working time/month .

Your  health  and  well-being  is important to us, so we have you covered:

• Medical subscription;
• Accident insurance;
• Sport activities and well-being initiatives.

We believe in a  Life-Long Learning  approach, so you can take advantage of:

• Technical and soft skills trainings;
• Access to e-learning platforms;
• Local and Global career development programs;
• Opportunity to attend conferences;
• Bookster subscription.

You will be part of a  product company . You will contribute to developing end-to-end products that are delivered to Global OEMs.

On top of these, we are offering:

• A monthly budget which can be used for several different services on an online benefit platform;
• Annual bonus;
• Lunch discounts.

Ready to work  LikeABosch ?

We live by our values, have an open feedback culture and there is plenty of room for innovative ideas. All because a team is only as valuable as its members.