Working Student Data Scientist
Mod de lucru
Hibrid
Domenii de lucru
Tehnologia informației
Alătură-te echipei
Student
Data de începere
conform acordului mutual
Timp de lucru
Normă întreagă
Divizie
Robert Bosch
Responsabilitățile tale
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.
Profilul tău - 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.
- 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.
