Data Scientist

We're building a new Business Analytics team with big ambitions – using advanced data analytics to drive our company forward. If you're passionate about turning data into impactful solutions and insights, we'd love to connect with you.
We're seeking an experienced colleague to join our small, friendly team of data enthusiasts. The ideal candidate brings both technical expertise and a collaborative spirit, as we believe great analytics comes from great teamwork.
We offer flexible work arrangements with regular home office options, but we love spending time together - most days you'll find us in the office having coffee, going for lunch together, and collaborating with colleagues from other teams.
Ready to help us build something great? Let's talk.

WHAT WE ARE LOOKING FOR

• Proven experience as a Data Scientist min. 3 years
• Proven track record in data analysis, data science, or ML model deployment preferably in cloud environments (GCP)
• Very good programming skills in Python with sound practical experience SQL
• Knowledge of common data science libraries and tools such as scikit-learn, pandas, Matplotlib and jupyter
• Experience with creating dashboards in Streamlit, PowerBI or other similar tools as advantage
• Knowledge of professional software development methods including version control (Git), CI/CD and containerization (Kubernetes) is welcome
• Communicative knowledge of English necessary (C1, B2), German is a plus

WHAT YOU WILL DO

• Work on meaningful data projects in close collaboration with business teams (especially Purchasing and Marketing) with impact on our customers, sales, profit, or costs
• Analyze complex datasets to extract actionable insights (focus on promotions/leaflet offers, customer cards, customer behavior…)
• Create automated models, analyses or reports
• Build and implement machine learning models to tackle business challenges

WHAT'S ON OFFER

• Hybrid working setup with flexibility and a collaborative team culture
• 6 weeks of vacation
• Meal allowance
• Regular salary reviews
• Cafeteria system
• MultiSport card
• Pension insurance contribution