Senior Data Scientist/Engineer
Agile Working
Flexible Working Hours
Hybrid Option
Join our team!
Are you motivated and think we're the right fit for you?We look forward to hearing from you!
We’re looking for data-driven minds who don’t just build models, but think critically, ask the right questions, bring structure — and help us turn data into real value. You can look forward to modern technologies, exciting projects with a wide range of challenges, and a team that shares knowledge and lives innovation. Sounds interesting? Then get in touch — we’d love to hear from you!
What sets you apart
As a Senior Data Scientist / Engineer, you’re the link between data, technology, and business.
- As a Senior Data Scientist / Engineer, you’re the link between data, technology, and business.
- You develop and implement machine-learning and statistical models to solve complex business problems in a data-driven way.
- You conduct exploratory data analyses, perform feature engineering, and validate hypotheses — including A/B testing.
- You take ownership of the entire ML lifecycle: from data preparation and model training to deployment and monitoring (MLOps).
- You work closely with data engineers, product managers, and business stakeholders to enable data-driven decisions and products.
- You establish best practices in data science, drive knowledge sharing within the team, and take on mentoring responsibilities for team members.
What we’re looking for in you
Ideally, you bring the following skills and experience:
- You have a degree in Computer Science, Statistics, Mathematics, Data Science, or a comparable qualification.
- You have 5+ years of professional experience in data science or data engineering.
- You are highly proficient in Python and SQL and can efficiently carry out complex data analyses.
- You have experience with data visualization (e.g., matplotlib, seaborn, Plotly) and can communicate complex results clearly to business stakeholders.
- You possess solid knowledge in statistics, machine learning, deep learning, and experimental design, and apply these skills in practice.
- You have experience with big-data frameworks (e.g., Spark, Kafka) and cloud environments (AWS, GCP, Azure), and can develop scalable solutions.
- You have a strong foundation in software engineering (CI/CD, Docker, Kubernetes, Git).
- You are fluent in German and English and feel comfortable collaborating in both languages with the team and clients.
- Bonus: Experience with recommender systems, graph databases, data lakes, or data warehouses is a plus.
What we offer you
