Auf einen Blick
- Aufgaben: Analyze data quality, collaborate with stakeholders, and build robust data pipelines.
- Arbeitgeber: Join a forward-thinking company shaping the future of mobility services.
- Mitarbeitervorteile: Enjoy profit sharing, flexible hours, home office options, and innovative projects.
- Warum dieser Job: Work on cutting-edge technology in a supportive, self-organized team environment.
- Gewünschte Qualifikationen: Degree in a relevant field; experience in data analysis and machine learning required.
- Andere Informationen: Opportunities for further education and a chance to work with the latest hardware.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
These tasks await you:
- You talk to the stakeholders of the data and evaluations.
- You analyze the origin and quality of the data.
- You sharpen questions and use cases.
- You explore the data for content and quality.
- You find the most suitable analysis tools, be it machine learning or classic statistics, and apply them.
- You discuss results with colleagues and customers.
- Together with our data engineers, you construct robust data pipelines to put your results into productive use.
Preferred Qualifications:
- Degree in computer science, mathematics, physics or a similar field, preferably with a PhD.
- Enthusiasm for data analysis and visualization.
- Good knowledge of machine learning and statistics.
- Experience in data analysis and software development, e.g. with Python, Scala or Java.
- Ideally, several years of professional experience in the data environment.
- Enjoy working closely and constructively with customers.
- Fluency or communication skills in written and spoken English, German language skills an advantage.
- Willingness to travel.
What we offer:
- Profit sharing.
- Flexible working hours.
- Homeoffice.
- Further education.
- Innovative projects.
- Latest Generation Hardware.
- Job bike-Leasing.
- Self-organized teams.
- Working-time account.
- Employee Assistance Program (EAP).
- Sabbatical.
- Corporate Health.
Data Scientist for Connected Car Projects Arbeitgeber: Fürstenberg Institute
Kontaktperson:
Fürstenberg Institute HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Scientist for Connected Car Projects
✨Tip Number 1
Finde heraus, welche spezifischen Connected Car Projekte wir bei StudySmarter aktuell haben. Informiere dich über die Technologien und Tools, die wir verwenden, um deine Kenntnisse in diesen Bereichen zu vertiefen.
✨Tip Number 2
Netzwerke mit Fachleuten aus der Automobil- und Datenanalysebranche. Besuche relevante Veranstaltungen oder Online-Webinare, um Kontakte zu knüpfen und mehr über die neuesten Trends in der Connected Car Technologie zu erfahren.
✨Tip Number 3
Bereite dich darauf vor, deine Erfahrungen mit Datenanalyse und maschinellem Lernen in einem Gespräch zu demonstrieren. Überlege dir konkrete Beispiele, wie du diese Fähigkeiten in früheren Projekten angewendet hast.
✨Tip Number 4
Zeige deine Begeisterung für innovative Projekte und die Zukunft der Mobilität. Informiere dich über aktuelle Entwicklungen in der Branche und bringe deine Ideen und Visionen in das Gespräch ein.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Scientist for Connected Car Projects
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Scientist position. Understand the key responsibilities and preferred qualifications, especially the importance of data analysis, machine learning, and collaboration with stakeholders.
Tailor Your CV: Customize your CV to highlight relevant experience in data analysis, machine learning, and software development. Include specific projects or achievements that demonstrate your skills in Python, Scala, or Java.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for data analysis and visualization. Mention your experience working with stakeholders and how you can contribute to innovative projects in the connected car space.
Highlight Language Skills: If you have proficiency in German, make sure to mention it in your application. Fluency in English is essential, but additional language skills can set you apart from other candidates.
Wie du dich auf ein Vorstellungsgespräch bei Fürstenberg Institute vorbereitest
✨Understand the Data Landscape
Make sure to familiarize yourself with the types of data relevant to connected car projects. Be prepared to discuss how you would analyze the origin and quality of this data, as well as your experience with data visualization.
✨Showcase Your Technical Skills
Highlight your proficiency in machine learning and statistics. Be ready to provide examples of how you've applied these skills in previous projects, especially using Python, Scala, or Java.
✨Engage with Stakeholders
Demonstrate your ability to communicate effectively with stakeholders. Prepare to discuss how you would sharpen questions and use cases based on stakeholder feedback and how you collaborate with colleagues.
✨Discuss Data Pipelines
Be prepared to talk about your experience in constructing robust data pipelines. Discuss any collaborative experiences you've had with data engineers and how you ensure that your results are put into productive use.