Data Scientist

vor 4 Wochen

Berlin, Berlin, Deutschland Digital Charging Solutions GmbH Vollzeit
Fraud Data Scientist Job Description

We are seeking a highly skilled Fraud Data Scientist to join our Financial Risk Management team at Digital Charging Solutions GmbH. As a Fraud Data Scientist, you will play a critical role in developing and maintaining fraud detection models using supervised machine learning and anomaly detection.

Your key responsibilities will include:

  • Building and maintaining fraud detection models using supervised machine learning and anomaly detection.
  • Developing and improving regular reports and informing the management of the company.
  • Building a historic fraud case database.
  • Taking care of fraud expert knowledge management and education in the company.

You will work closely with our cross-functional team to identify and mitigate potential fraud risks, ensuring the integrity of our business operations. If you have a strong interest in learning and personal development, and want to make a real impact on the success and safety of the company, we encourage you to apply.

Your Profile:

  • You have a quantitative background in math, natural sciences, economics or similar.
  • You have experience in a quantitative role.
  • You have a strong interest in learning and personal development.
  • You have programming experience in SQL and at least one analytical programming language like Python, R or Julia.
  • You have first experience in statistics and/or machine learning.

We Offer:

  • A unique opportunity combining the energy of a start-up with the power of BMW, Mercedes Benz Mobility & bp.
  • Working on products & services with a high social impact.
  • An international team of talented people who love what they do and live a collaborative spirit.
  • An open-minded culture with room for growth and the freedom to bring in own ideas.

We acknowledge the value of diversity, promote equality and challenge unfair discrimination. We strive to create an inclusive work environment, safe for anyone regardless of their gender identity, sexual orientation, abilities, ethnicity or race. We have the clear goal of driving diversity and inclusion across all dimensions and treat each applicant with the same respect and consideration.

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