Data Scientist - Innovation Collaborations
Role details
Job location
Tech stack
Job description
- Be the main customer touchpoint of an industry collaboration
- Carry out projects with industry partners, from solution design to hands-on development
- Turn your machine learning skills into business value - go beyond split-fit-transform-test!
- Share expertise in data science and machine learning with fellow data scientists
- Presenting to a non-technical audience will also be part of your activities.
Requirements
- Master degree in Computer Science, Mathematics or similar fields
- Good knowledge of machine learning concepts
- Ability to present to technical and non-technical audiences
- Open to collaborative work and show team spirit
- Excellent communication skills in English and French
- Previous experience in companies or public sector organizations is appreciated but not mandatory
Benefits & conditions
Do you see yourself helping Switzerland becoming more data-driven? Are you passionate about data science and with experience in machine learning? Are you keen to share what you know and get exposed to several projects in various industries? Are you eager to be part of a diverse and adaptable team with equal growth opportunities of its members at its core? If your answer to these questions is yes, you should consider joining us. Together, we can help move the Swiss Industry to the next level of data science. During your time at the Swiss Data Science Center, you will benefit from the following opportunities:
- Develop your soft skills and meet with key stakeholders in several industries
- Interact with and learn from fellow data scientists
- Discover new data science applications in various industries
- Exchange on advanced machine learning topics with our academic experts
We actively promote a healthy work-life balance in the workplace. Part-time arrangements and flexible hours can be explored based on individual circumstances. We are looking for candidates willing to contribute to an inclusive environment and eager to learn continuously. Informations