We’re looking for a seasoned contributor to join the Threat Research Team. He will contribute to the ML roadmap implementation and be focused on finding new innovative ways to use ML technologies inside DataDome solutions.

You will be more specifically in charge of:

• Contribute and challenge ML topics at DataDome
• Contribute and follow-up to the go-to production of ML algorithms and models in collaboration with our ML Engineers
• Keep up to date on ML topics (research papers, state of the art on ML applied to cyber security) and share knowledge with the team/externally (meetups, conferences)
• Contribute to CIR & European projects documentation
• Uncover opportunities to automate any of DataDome recurring tasks using ML
• Contribute to ML best practices and processes definition

👤 We look for someone who has:

• At least 3 years of experience in a Data Scientist role
• Strong programming skills in python
• Good knowledge of ML algorithms
• Strong computer science background
• Ability to learn and implement new ML approaches (from papers, blogs etc.)
• Good understanding of how the web works: browser vs server, GET/POST requests, how a login works.
• Good communication and writing skills (mainly in English)
• Autonomy, rigor, and passion for ML!

Bonus points:

• Has already done a simple bots/crawler or could discuss main automation techniques: HTTP library, headless browser, real browser.
• Has already implemented streaming ML algorithms
• Has minimal knowledge of Scala or Java

What are the next steps?

You x Talent Acquisition Manager : first interview and cultural fit

You x Engineering  Manager : technical and cultural fit + Take-home technical challenge

You x Team: Presentation and review of your “technical proposal” with the team

You x Member of the leadership team - Discussion about DataDome vision and “raison d’être” ?

Now you really met everyone Welcome to DataDome :)

DataDome is an equal opportunity employer, and proud to be committed to diversity and inclusiveness. We will consider all qualified applicant without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.