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vor 4 Wochen
We are Digital Charging Solutions GmbH, a leading provider of digital charging solutions for the e-mobility industry. Our mission is to make charging easy and seamless for electric vehicle drivers. We are seeking a highly skilled Data Scientist to join our Financial Risk Management team and help us prevent fraud in our digital charging ecosystem.
Your Mission:- Develop and maintain fraud detection models using machine learning and anomaly detection techniques.
- Design and implement a fraud detection monitoring and alerting system.
- Conduct operational and deep-dive data analysis to identify trends and patterns.
- Develop and maintain regular reports to inform management of the company.
- Build a comprehensive fraud case database.
- Develop and maintain fraud expert knowledge management and education within the company.
- You have a strong background in mathematics, natural sciences, economics, or a related field.
- You have experience in a quantitative role, preferably in a FinTech company.
- You have a strong interest in learning and personal development, with a desire to stay up-to-date with the latest machine learning and data science techniques.
- You have programming experience in SQL and at least one analytical programming language, such as Python, R, or Julia.
- You have experience with statistics and machine learning, with a focus on fraud detection and prevention.
- You have experience in a senior level of a forensic department of a consulting company, or as a Fraud Analyst at a public authority.
- A unique opportunity to work on a high-impact project that combines the energy of a start-up with the power of BMW, Mercedes-Benz Mobility, and bp.
- A collaborative and international team of talented professionals who are passionate about e-mobility and data science.
- A comprehensive benefits package, including subsidized gym membership, office lunch benefit, personal development budget, and more.
- Modern and sunny offices in Berlin and Munich, with the option to work from home up to 3 days a week.
We are committed to diversity, equality, and inclusion, and strive to create a safe and welcoming work environment for all employees. If you are passionate about data science and e-mobility, and want to make a real impact in the industry, we encourage you to apply.
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