Data Scientist for Fraud Detection
vor 4 Wochen
We are seeking a skilled Data Scientist to join our Financial Risk Management team at Digital Charging Solutions GmbH. As a Fraud Data Scientist, you will play a crucial role in developing and maintaining fraud detection models using supervised machine learning and anomaly detection.
Your key responsibilities will include building and maintaining a fraud detection monitoring and alerting system, performing operational and deep-dive data analysis, and developing regular reports to inform the management of the company.
We are looking for a highly analytical individual with a strong background in math, natural sciences, economics, or a similar field. You should have experience in a quantitative role and be proficient in programming languages such as Python, R, or Julia.
As a Fraud Data Scientist, you will have the opportunity to work on products and services with a high social impact and be part of an international team of talented individuals who are passionate about shaping the future of e-mobility.
We offer a unique opportunity to combine the energy of a start-up with the power of BMW, Mercedes-Benz Mobility & bp. You will have the chance to work on challenging projects, develop your skills, and grow professionally in a dynamic and collaborative environment.
Key skills and qualifications:
- Quantitative background in math, natural sciences, economics, or a similar field
- Experience in a quantitative role
- Proficiency in programming languages such as Python, R, or Julia
- Strong analytical skills and attention to detail
- Ability to work independently and as part of a team
If you are a motivated and detail-oriented individual with a passion for data analysis and machine learning, we encourage you to apply for this exciting opportunity.
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Data Scientist for Fraud Detection
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