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A cybersecurity firm is seeking a Data Scientist to enhance fraud detection capabilities. The role involves working with a team to build new data science methods, automate detection processes, and provide insights for business. Candidates should have experience in Python, SQL, and a strong background in computer science. Flexibility in work location is offered, along with various benefits including health support and professional development opportunities.
DataDome stops cyberfraud and bots in real time, outpacing AI-driven fraud across your sites, apps, and APIs. Named a Leader in the Forrester Wave for Bot Management, the DataDome platform uses a multi-layered AI engine focused on intent. It blocks fraud in under 2 milliseconds without compromising performance and integrates into any tech stack. A 24/7 SOC team of threat researchers backs DataDome, stopping over 350 billion attacks annually.
The DataDome tech team is spread across Europe and the US. We handle over 2 000 billion events per day with responses within 3ms (99p) and are deployed in more than 35 data centers worldwide using Docker.
We’re looking for a Data Scientist to join the Threat Research Team, which is responsible for constantly improving detection capabilities through advanced algorithms and data-centric approaches.
Your goal will be to challenge and improve our detection capabilities.
You will be more specifically in charge of:
We look for someone who has:
DataDome is an equal opportunity employer and is committed to diversity and inclusion. We consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability, or age.