Data Scientist (all genders)

  • Fraugster
  • Berlin, Germany
  • 16/07/2022
Full time Data Science Big Data Statistics DevOps

Job Description

At Fraugster we live and work by the principle of diversity, inclusion and belonging as we care about each other & our individual needs. While we hold ourselves to the highest standards of work we believe in success achieved by people of all backgrounds, identity, gender and nationalities.

As a Data Scientist (all genders) within the Machine Learning team , you will serve our clients by maintaining and improving our payment fraud detection and credit scoring models, which are at the core of Fraugster's business. You will lead hands-on research projects to improve our scoring algorithms and partner with stakeholders in analytics, product development and engineering to make sure these improvements will be applied in production. In addition, you will train and monitor models for our clients and investigate issues with models deployed in production.

The ideal candidate should be able to conduct ML research projects independently while closely communicating with stakeholders. Besides a strong knowledge of ML algorithms, you will need to have (or to develop) a deep understanding of the payments industry in order to identify and successfully conduct projects that are valuable to the business.

How will you contribute to our mission?

    • Research and develop new or improved ML-based solutions to identify and prevent payment fraud in real-time: understand the business problem, translate it into a data science research problem, build an experiment and analyze the results.
    • Contribute your own ideas to improve our fraud prevention system.
    • Lead projects in collaboration with engineers and relevant stakeholders to bring your research into production.
    • Train, test and monitor production ML models.

To be successful at this position, we think you should have/be:

    • Advanced degree in Computer Science, Statistics, Data Science, or another quantitative field.
    • 2+ years of work experience in machine learning, data science, data analysis.
    • Very good understanding of and experience with classical machine learning; experience with deep learning is a plus.
    • Good programming skills in SQL and Python, experience using machine learning libraries.
    • Ability to conduct research projects independently.
    • Quick and independent learner: ability to extract relevant knowledge from scientific publications, blog posts, etc.
    • Strong communication skills and fluent in English (business level)

What we offer:

    • Fast track your career by gaining responsibility quickly, and working alongside motivated, collaborative and supportive industry leaders.
    • Creative, diverse, and focused teams committed to learning and problem-solving through collaboration.
    • A safe and open space to follow your individual growth objectives, very flexible working hours, remote work opportunities as well as full support for family/private situations through flexible parental & compassionate leave policies.
    • A Learning & Development culture that includes an educational budget also during the probation period.
    • Competitive remuneration including virtual company shares.
    • Regular feedback workshops and monthly events on topics related to Diversity & Belonging
    • Relocation and visa support
    • Free German classes (A1, A2, B1, B2)
  • Yoga & Meditation Classes

About Fraugster:

Fraugster is a payments intelligence company that helps the e-commerce ecosystem to minimize fraud and maximize revenue by making smarter real-time business decisions. We help our customers solve multiple use cases by giving them access to various, interoperable products via one integration. Fraugster has developed one of the most accurate AI fraud prevention solutions on the market and is backed by some of Europe's most reputable deeptech investors from Earlybird to Speedinvest, CommerzVentures and Munich Re Ventures.

Our product was built by people from all over the world and we continue to uphold the value of a diverse workforce. We are a family friendly company that supports employees in their individual life circumstances. The culture that we stand for is defined by intellectual curiosity, collaboration and caring for each other.

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