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- Aufgaben: Lead the development of Machine Learning solutions to drive business impact.
- Arbeitgeber: Join AUTO1 Group, Europe's top digital automotive platform revolutionizing the used car market.
- Mitarbeitervorteile: Work from home up to 5 days a week and enjoy an educational budget for continuous learning.
- Warum dieser Job: Be part of a dynamic team, contribute your ideas, and participate in exciting events like Hackathons.
- Gewünschte Qualifikationen: 2+ years in deep learning, proficiency in SQL/Python, and experience with cloud platforms preferred.
- Andere Informationen: We embrace diversity and welcome applicants from all backgrounds.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Company Description
We are seeking a technically skilled and passionate Senior Data Scientist to join our dynamic Data Science department at AUTO1 Group Technology. As part of our disruptive approach in the used car market, our team leverages cutting-edge technology to develop Machine Learning solutions that optimize our platforms and processes. AUTO1 Group is Europe’s leading digital automotive platform. We revolutionize the used car market with our well-known brands Autohero, wirkaufendeinauto.de, and AUTO1.com.
Your new Role
- Translate business needs into data science questions and take ownership of the research and development of Machine Learning solutions that bring positive business impact.
- Partner with engineering and product teams to deploy Data Science services and embed them in the Auto1 tech infrastructure.
- Monitor model performance in production, share results with stakeholders and develop actionable next steps.
- Identify business opportunities and collaborate with stakeholders and partners in tech to drive growth.
- Set priorities and support junior members to achieve project goals.
Your Skills
- At least 2 years of hands-on experience working with deep learning/neural networks. Experience with recommender systems and PyTorch would be considered an advantage.
- Proficiency in SQL and Python for data manipulation, analysis, and modeling. Experience in AWS/Azure/Google Cloud would be considered an advantage.
- Proficiency in the full lifecycle of data science projects, including initializing/designing, developing (building the model), and deploying models in production (full stack).
- Advanced statistical and quantitative knowledge with commercial experience, preferably with academic experience in a quantitative research field.
- Demonstrated strong stakeholder interaction and visualization skills to effectively present findings in a clear and unambiguous way.
Our Offer
- Working from home: you can work from home up to 5 days a week.
- International teams.
- Educational budget to support your continuous learning and development.
- Personal growth with the contribution of own ideas.
- Exciting team events like Hackathons to foster collaboration and innovation.
- Discounts at Autohero, our platform for high-quality used cars.
Contact
Lina Antoniuk
At AUTO1 Group we live an open culture, believe in direct communication, and value diversity. We welcome every applicant; regardless of gender, ethnic origin, religion, age, sexual identity, disability, or any other non-merit factor.
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Senior Data Scientist (f/m/x) Arbeitgeber: WKDA GmbH
Kontaktperson:
WKDA GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Scientist (f/m/x)
✨Tip Number 1
Familiarize yourself with the latest trends in machine learning and deep learning, especially focusing on recommender systems and PyTorch. This knowledge will not only help you during the interview but also demonstrate your passion for the field.
✨Tip Number 2
Prepare to discuss specific projects where you've successfully translated business needs into data science solutions. Highlight how your contributions led to measurable business impacts, as this aligns perfectly with the role's requirements.
✨Tip Number 3
Showcase your experience with cloud platforms like AWS, Azure, or Google Cloud. Be ready to explain how you've utilized these tools in previous projects, as this is a significant advantage for the position.
✨Tip Number 4
Demonstrate your ability to communicate complex data findings clearly. Prepare examples of how you've effectively presented insights to stakeholders, as strong visualization skills are crucial for this role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Scientist (f/m/x)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Scientist position. Understand the key responsibilities and required skills, especially focusing on Machine Learning, deep learning, and data manipulation with SQL and Python.
Tailor Your CV: Customize your CV to highlight relevant experience in data science projects, particularly those involving deep learning and neural networks. Include specific examples of how you've translated business needs into data science solutions.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your ability to work collaboratively with engineering and product teams. Mention any experience you have with cloud platforms like AWS, Azure, or Google Cloud.
Showcase Your Communication Skills: In your application, emphasize your strong stakeholder interaction and visualization skills. Provide examples of how you've effectively presented findings in a clear and unambiguous way to different audiences.
Wie du dich auf ein Vorstellungsgespräch bei WKDA GmbH vorbereitest
✨Understand the Business Context
Before your interview, make sure you understand AUTO1 Group's business model and how data science can drive value in the used car market. Be prepared to discuss how your previous work has translated business needs into actionable data science projects.
✨Showcase Your Technical Skills
Highlight your hands-on experience with deep learning, neural networks, and any relevant tools like PyTorch. Be ready to discuss specific projects where you've utilized these technologies and the impact they had on the business.
✨Prepare for Stakeholder Interaction Scenarios
Since strong stakeholder interaction is crucial, think of examples where you've effectively communicated complex data findings to non-technical stakeholders. Practice explaining your work in a clear and concise manner.
✨Demonstrate Leadership and Mentorship
As a senior role, you'll be expected to support junior members. Prepare to discuss your experience in mentoring or leading teams, and how you prioritize tasks to achieve project goals while fostering a collaborative environment.
