We are looking for a
Senior) Data Scientist (m / f / d)
fulltime) at our location in Oslo Berlin Verl Stockholm or Amsterdam (flexible 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 whom 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.
Your Responsibilities :
- Participate in the entire modeling process from data cleaning and feature engineering to model training and evaluation.
- Anticipate potential issues in the modelbuilding process and suggest strategies to mitigate pitfalls.
- Engage in coding and code reviews to ensure quality and efficiency.
- Collaborate within a crossfunctional team to drive innovation and effectiveness.
What You Bring :
Experience working with transactional databases or case handling systems.A bachelors masters or Ph.D. in a STEM field (e.g. Computer Science Mathematics Statistics Engineering or related disciplines).Ability to work with imperfect datadata collected for purposes other than machine learning.Handson experience deploying models into production.Proficiency in Python for data science applications.Familiarity with common data science frameworks in Python.A strong interest in learning new tools and technologies.Bonus Skills :
Experience writing productionready Python code.Knowledge of SQL relational databases Spark Databricks VS Code and Docker.Previous experience in the risk and fraud domain.Our Hiring Process :
We aim to make our hiring process smooth and transparent :
Prescreening Call with HR : A brief conversation to understand your background and motivation.Live Coding Challenge : A short technical task to evaluate your coding skills.Interview with the Hiring Manager : A discussion about your experience problemsolving approach and team fit.Bar Raiser Interview with the Department Lead : A final conversation to assess cultural and strategic alignment.EUR5
Key Skills
Laboratory Experience,Mammalian Cell Culture,Biochemistry,Assays,Protein Purification,Research Experience,Next Generation Sequencing,Research & Development,cGMP,Cell Culture,Molecular Biology,Flow Cytometry
Employment Type : Full Time
Experience : years
Vacancy : 1