Auf einen Blick
- Aufgaben: Lead industry collaborations and turn machine learning skills into impactful projects.
- Arbeitgeber: Join the Swiss Data Science Center, a hub for innovation in data science across Switzerland.
- Mitarbeitervorteile: Enjoy flexible hours, part-time options, and opportunities to develop soft skills.
- Warum dieser Job: Be part of a diverse team, learn from experts, and help industries become more data-driven.
- Gewünschte Qualifikationen: Master's degree in Computer Science or related field; strong machine learning knowledge required.
- Andere Informationen: Contract starts on 01/05/2025; applications only accepted through specified online platforms.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
About The Swiss Data Science Center (SDSC) The Swiss Data Science Center (SDSC) is a strategic focus area of the ETH domain, with EPFL and ETH Zurich as founding partners, developing into a National Research Infrastructure in 2025. Its mission is to support academic labs, hospitals, industry and public sector stakeholders, including cantonal and federal administrations, through their entire data science journey, from the collection and management of data to machine learning, AI, and industrialization. With a large multidisciplinary team of professionals across three locations (Lausanne, Zurich, Villigen), the SDSC provides expertise and services to various domains, such as health and biomedical sciences, energy and sustainability, climate and environment, and large-scale scientific infrastructures. More: mission You will work on one of the SDSC’s innovation partnerships in the French part of Switzerland. In this role, you will meet partners (companies) to understand their needs and help them define a high-impact project with the SDSC. You will be responsible for successfully carrying out the project thanks to your machine learning expertise with the help and support of the SDSC team. Main Duties And Responsibilities Include 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. Your profile The Ideal Candidate Has 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 We offer About 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 Contract Start Date : 01/05/2025 Activity Rate : 100.00 Contract Type: CDD Duration: 1 year, renewable Reference: 1444 Contact We look forward to receiving your online application including application letter, CV and diploma(s). Applications via email or postal services will not be considered. For further information about the Swiss Data Science Center please visit our website: regarding the position should be directed to with the job n° reference. Remark Only candidates who applied through EPFL website or our partner Jobup’s website will be considered. Files sent by agencies without a mandate will not be taken into account. #J-18808-Ljbffr
Data Scientist - Innovation Collaborations Arbeitgeber: Whatjobs

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Whatjobs HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Scientist - Innovation Collaborations
✨Tip Number 1
Familiarize yourself with the specific industries that the Swiss Data Science Center collaborates with. Understanding their unique challenges and data needs will help you tailor your discussions and demonstrate your value during interviews.
✨Tip Number 2
Brush up on your presentation skills, especially for non-technical audiences. Being able to communicate complex machine learning concepts in an accessible way is crucial for this role, so practice explaining your past projects in simple terms.
✨Tip Number 3
Network with professionals in the data science field, particularly those who have experience in industry collaborations. Engaging with them can provide insights into the role and may even lead to referrals or recommendations.
✨Tip Number 4
Stay updated on the latest trends in machine learning and data science applications across various sectors. This knowledge will not only enhance your expertise but also show your commitment to continuous learning, which is highly valued by the SDSC.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Scientist - Innovation Collaborations
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Scientist position at the Swiss Data Science Center. Understand the key responsibilities and required skills, especially in machine learning and communication.
Craft a Tailored Application Letter: Write a personalized application letter that highlights your relevant experience in data science and machine learning. Emphasize your ability to communicate complex concepts to both technical and non-technical audiences, as this is crucial for the role.
Highlight Relevant Experience: In your CV, focus on any previous projects or roles that demonstrate your expertise in machine learning and collaboration with industry partners. Include specific examples of how you've turned technical skills into business value.
Follow Application Instructions: Ensure you submit your application through the specified channels, such as the EPFL website or Jobup’s website. Double-check that all required documents, including your application letter, CV, and diplomas, are included before submitting.
Wie du dich auf ein Vorstellungsgespräch bei Whatjobs vorbereitest
✨Understand the Mission
Familiarize yourself with the Swiss Data Science Center's mission and how it supports various sectors. Be prepared to discuss how your skills in machine learning can contribute to their goals.
✨Showcase Your Communication Skills
Since you'll be presenting to both technical and non-technical audiences, practice explaining complex concepts in simple terms. This will demonstrate your ability to bridge the gap between data science and business needs.
✨Highlight Collaborative Experience
Emphasize any previous experience working in teams or collaborations, especially in industry settings. The role requires a team spirit, so sharing examples of successful teamwork will be beneficial.
✨Prepare for Project Discussions
Be ready to discuss how you would approach defining high-impact projects with industry partners. Think about past projects where you've turned machine learning skills into tangible business value.