Data Scientist in Financial Applications
Middle (2-5 years), Entry (0-2 years)
- 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
- 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
- Meal tickets
- Medical insurance
- Opportunities to grow and develop in a start-up environment
- Dynamic and multicultural working environment
- Great training opportunities
- Extra days off based on seniority
By applying for this job you accept the DT privacy statement:
- To process your online application we collect, process and use your personal data. We will treat your data as strictly confidential in accordance statutory provisions.
- By submitting your application, you consent to your data being processed electronically, including by third parties. Data is only passed on to HR service providers that have been carefully selected by Deutsche Telekom AG.
- For detailed information read the local data protection when applying for a job position at Deutsche Telekom Group.
- Do you have knowledge of R or Python?