We are looking for a
(Senior) Data Scientist (m/f/d)
full-time at our location in Berlin or Amsterdam - hybrid working conditions available.
The Data Science (Consumer and Risk) team at Riverty is looking for skilled professionals to build Risk and Fraud machine learning models for our online payment products. Our primary goal is to determine who to accept and whom to decline based on data from past customers. This involves both detecting fraudulent transactions and identifying trustworthy ones by analyzing payment histories of similar customers.
What you are expected to do:
- Participate in the entire modeling process, from data cleaning and feature engineering to model training and evaluation.
- Anticipate potential issues in the model-building process and suggest strategies to mitigate pitfalls.
- Engage in coding and code reviews to ensure quality and efficiency.
- Collaborate within a cross-functional team to drive innovation and effectiveness.Be involved in the whole modelling process, from data cleaning and feature engineering to model training and evaluation
What you bring:
- A bachelor's, master's, or Ph.D. In a STEM field (e.g. Computer Science, Mathematics, Statistics, Engineering, or related disciplines).
- Experience working with transactional databases or case handling systems.
- Ability to work with unstructured data.
- Knowledge of SQL, relational databases, Spark, Databricks, VS Code, and Docker.
- Hands-on experience deploying models into production.
- Proficiency in Python for data science applications.
- Familiarity with common data science frameworks in Python.
- Experience writing production-ready Python code.
- A strong interest in learning new tools and technologies.
- Previous experience in the risk and fraud domain will be a big plus.
Thrive at Riverty with great benefits:
- Immerse yourself in a welcoming, trust-filled atmosphere as part of our agile teams and explore the fantastic opportunities within the Bertelsmann Group
- Put your health first by engaging in a variety of supported sports and leisure activities – it's important to us!
- Empower your growth and professional development with Riverty’s training sessions and customized development plans. Together, we'll learn, evolve, and achieve success
- Know that you're appreciated with plenty of employee benefits & discounts just for you
- Experience the best of both worlds with our flexible working arrangements, which let you mix on-site teamwork and remote work to create the perfect professional experience that suits your life
Please note, benefits could be different depending on location or agreement details, and they may alter over time. We'd be delighted to explore these benefits in greater depth during an interview.
About us
We are Riverty. And we believe everyone should be in control of their financials. We ask you to join in. Because together with you, we build the most human-centric fintech. We build on experience of more than 50 years. More than 5,000 people in 13 countries drive our company and contribution to society. And we have their backs. We make sure they feel supported and included: Across teams, across physical and invisible borders and across the globe.
Our world is growing. And we’re here. Together, we’re finding smarter, simpler, seamlessly connected ways to manage money. By leveraging data and financial technology, our holistic solutions provide flexible payments, smarter accounting, and fair debt collection, all aimed at fostering everyone's financial growth.
And. Everything we do, starts with you. Join us and let‘s build a more sustainable financial future, together.
More information on riverty.com/careers. Are you already convinced? Then we look forward to receiving your online application – with just a few clicks.
We look forward to applications from candidates who contribute to the diversity of our company. We relate diversity in particular to the dimensions of cultural or social origin, religion, age, disability, gender and sexual identity.
Company: Riverty Group GmbH
Country: Netherlands
State/Region: Noord-Holland
City: Berlin
Postal Code: 10623
Job ID: 288774