Data Scientist

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You will be joining the Data Science team, driving innovation in risk decisioning through cutting-edge machine learning. We work closely with data engineers, product managers, and risk analysts to build impactful, scalable models using GCP Vertex AI and our in-house Kafka-based feature store.

Your day-to-day will include:

• Designing and deploying models to support real-time risk decisions.
• Experimenting with new data science techniques and translating business needs into actionable solutions.
• Participating in team stand-ups, brainstorming sessions, and code reviews to refine workflows and solutions.

What you’ll do

You will be driving the following projects:

• Credit Decisioning Model Development: Build and deploy real-time credit risk models, leveraging high-value signals and engineered features.
• Feature Store Expansion: Enhance our Kafka-based feature store to support low-latency, high-throughput data pipelines for decisioning systems.

What you need to succeed

• 3+ years of experience in data science
• Strong experience with machine learning model development
• Proficiency in Python and its data stack
• Solid understanding of credit/fraud risk modeling or similar decisioning systems.
• Problem-solving skills and the ability to translate business needs into data science solutions.
• Excellent communication and collaboration skills to work in cross-functional teams

It would be a plus if you also have experience with:

*Please note we do not offer visa sponsorship at this time.

What's in it for you?

• € 1000 per year for you to contribute to your learning & development to help you grow professionally and personally.
• €300 per year for you to endorse team build, including dinners, games, and events.
• 28 vacation days per year (increasing 1 day every year up to 30).
• We welcome you to our office in the center of Berlin 3+ days a week.
• Take advantage of our Workation policy, allowing for up to 6 weeks every year of work outside of Germany (some restrictions apply).
• Subsidised gym membership to boost your physical and mental well-being.
• € 46 per month towards the DeutschlandTicket.
• Tax relief for payments into our Business Bike scheme.
• You can accelerate your career and take ownership of your work and development in a flat hierarchy where 360 feedback is encouraged.

Working in a truly diverse group makes us stronger and more resilient. Furthermore, it enables an unfair advantage - the opportunity to learn from each other, see different perspectives, and consider a broader range of variables in our decision-making. That is what being a Monduneer is all about.

Thus, regardless of your background, age, disability, gender, parental status, race, religion, sexual orientation, educational background, or any other aspect you feel is a statement of your diversity, we look forward to discussing your role in mind.

If you believe you are a Monduneer in disguise, and it's time for you to shine, submit your application, and we'll take it from there.

Mondu is changing the B2B payments ecosystem by providing payment solutions that enable any B2B company to grow quickly and safely. We envision a future where businesses, not just consumers, experience a seamless, modern, and human-centered payment flow. Founded by a dream team of passionate entrepreneurs and seasoned tech leaders, Mondu is rapidly scaling. In just three years, we've secured over $120 million in funding, attained an e-money banking license through the Dutch National Bank, and assembled a talented team of over 100 Monduneers across our three locations of Berlin, Amsterdam and London. On the road, we have successfully launched numerous products accessible to buyers in seven markets (and counting!) - catering to thousands of clients.

Our products bring B2B payments up to par with B2C payments: putting the people behind the business at the heart of the payment flow, and ensuring they have a seamless, modern and state-of-the-art experience, whether they are sellers or buyers.

We’re building a culture at Mondu where amazing people do their best work. If you’re ready to grow your career and help thousands of organizations pay better, you’re in the right place.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Finance

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