Data Scientist in Financial Applications

Ideal candidate

• University degree in fields of computer science, business administration with a strong focus on information technology or a quantitative degree in mathematics, statistics, engineering with an additional focus on informatics and business administration
• Excellent understanding of data-driven statistical methods, data mining, time-series analysis and machine learning algorithms
• Proven knowledge in software engineering and architectural design
• Ability to lead a complex data science project
• Good scripting, programming and database skills (. relational databases, R, Python, TensorFlow,
• Apache software stack: Hadoop, Spark)
• Languages: Fluent written and spoken English, German skills beneficial
• Knowledge of SAP products (especially SAP BW, SAP Hana, SAP Predictive Analytics) is a strong plus

Job responsabilities

• Exploring and developing new use cases for data science methods within different domains of financial applications (. prognosis of cash flow)
• Detailing business requirements and set up of project according to CRISP-DM standards
• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results to management
• Creating automated anomaly detection systems
• Constant tracking and optimization of model performance
• Coordination and communication with our internal IT service department

Benefits:

• Meal tickets
• Medical insurance
• Opportunities to grow and develop in a start-up environment
• Dynamic and multicultural working environment
• Great training opportunities
• Transportation
• Extra days off based on seniority

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