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- 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.
- Mitarbeitervorteile: Enjoy flexible hours, part-time options, and a focus on work-life balance.
- Warum dieser Job: Be part of a diverse team driving Switzerland's data-driven future with exciting projects.
- Gewünschte Qualifikationen: Master's degree in Computer Science or related field; machine learning knowledge required.
- Andere Informationen: Applications only accepted through EPFL or Jobup websites.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € 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:
Your 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
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:
Questions 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.
Company:
EPFL
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
Tagged as: Industry , Machine Learning , NLP , Switzerland
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Data Scientist – Innovation Collaborations Arbeitgeber: NLP PEOPLE
Kontaktperson:
NLP PEOPLE 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 approach during interviews and discussions.
✨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.
✨Tip Number 3
Network with current or former employees of the Swiss Data Science Center. They can provide valuable insights into the company culture and expectations, which can help you stand out as a candidate.
✨Tip Number 4
Stay updated on the latest trends in machine learning and data science. Demonstrating your knowledge of cutting-edge technologies and methodologies can set you apart from other candidates.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Scientist – Innovation Collaborations
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Data Scientist position at the Swiss Data Science Center. Tailor your application to highlight your machine learning expertise and experience in collaborative projects.
Craft a Compelling Application Letter: In your application letter, emphasize your passion for data science and your ability to communicate complex concepts to both technical and non-technical audiences. Mention specific examples of past projects where you successfully applied machine learning techniques.
Highlight Relevant Experience: When detailing your CV, focus on your previous experiences that align with the job description. Include any relevant projects, especially those involving industry collaborations or public sector work, and showcase your soft skills and teamwork.
Follow Application Instructions: Ensure you submit your application through the specified channels, including your application letter, CV, and diplomas. Remember, applications sent via email or postal services will not be considered, so make sure to apply online as instructed.
Wie du dich auf ein Vorstellungsgespräch bei NLP PEOPLE 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. Highlight any previous experiences where you successfully communicated technical information.
✨Demonstrate Collaborative Spirit
Emphasize your ability to work in a team and collaborate with industry partners. Share examples of past projects where teamwork was essential to success.
✨Prepare for Industry-Specific Questions
Research the industries that the SDSC collaborates with, such as health, energy, and climate. Be ready to discuss how your machine learning expertise can create value in these areas.
