About
As a Data Engineer at RISK IDENT, you will be a member of our FRIDA ML team. This team is developing one of our products based on a scalable platform for real-time data processing, analysis and prediction, turning insights and models into the production code that forms the backbone of our fraud prevention solutions. The Data Engineer role at RISK IDENT combines Data Science and engineering skills, with a very strong focus on the latter. If you have practical experience with data mining and machine learning and a passion for building production-level analytics applications, you might be the perfect candidate for us!
The Job
- Design, implementation and evaluation of statistical models, graphs and machine learning algorithms
- Design and implementation of data models and data transformation pipelines
- Working together with our Data Science team to develop and integrate new approaches for fraud detection
- Development and maintenance of our main software components
- Data exploration, analysis and monitoring of data quality
- Supporting the integration, release and deployment process
- Bringing in your ideas of how to improve our software by new technologies
Skill Set
- A team player, able to communicate in an open, constructive and friendly manner
- Experience with implementing statistical models, graphs & machine learning algorithms
- Knowledge of Scala, feeling comfortable with SBT and testing frameworks
- Knowledge of state-of-the art data processing technologies and machine learning libraries, e.g. Apache Spark
- Knowledge of Python
- Experience with data exploration and analysis, e.g. with Python and/or R
- Experience in processing large volumes of data, in particular NoSQL & stream processing technologies, is a plus
- Theoretical background in data mining, pattern recognition, information retrieval & machine learning is a plus
- Good English language skills (we have an international team, German is not required)