Data Scientist

DataDome stops cyberfraud and bots in real time, outpacing AI-driven fraud from simple to sophisticated across your sites, apps, and APIs. Named a Leader in the Forrester Wave for Bot Management, the DataDome platform is built on a multi-layered AI engine that focuses on intent, not just identity. Because it’s not about knowing who’s real, it’s about what they intend to do. With thousands of AI models that adapt to every fraudulent click, signup, and login, DataDome blocks fraud in less than 2 milliseconds, without compromising performance. DataDome is fully automated and integrates seamlessly into any tech stack. Backed by a 24/7 SOC team of advanced threat researchers, DataDome stops over 350 billion attacks annually. Experience protection that outperforms with DataDome.

The DataDome tech team is spread across Europe and the US. We handle over 2 000 billion events per day giving responses within 3ms (99p). We are present in more than 35 data centers around the world, deployed using Docker.

When it comes to our stack, we run real-time detection layer in Java, low latency Stream Engine running on Flink in Scala, ElasticSearch for storage, Kafka for communication between layers, HAProxy for load balancing, Symfony & Angular for our dashboards. While previous experience in cyber is not a must, we'll pair you with mentors who will help you bridge the gaps. As #growth is part of our DNA, we’ll give you the resources and support you need to develop mastery.

The team:

We’re looking for a Data Scientist to join the Threat Research Team, which is responsible for constantly improving the 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:

Fraud detection:

Collaborate with other team members and implement new approaches to improve fraud detection across DataDome’s products

Challenge ML usage at DataDome

Build new Data Science approaches and go to production to challenge frauds in real-time

Keep up to date on Data Science topics (research papers, state of the art on ML applied to cyber security) and share knowledge with the team/externally (meetups, conferences)

Automate detection processes using advanced algorithms

Contribute to Data Science best practices and processes definition

Uncover data insights for the business:

Contribute to data modeling to build advanced analytics flow for Machine Learning or statistical applications

Feed business teams with insights related to the detection

Develop bots to competition’s positioning and capabilities relative to bot detection

We look for someone who has:

First experience in applied Data Science

At least 2 years of experience programming in Python

SQL knowledge

Strong computer science background

Data Scientist methodology and mindset

A "hacker" spirit

Good communication skills (oral and written)

Bonus points:

GCP knowledge (Big Query, VertexAI)

Experience dealing with bots or malware

Previous experience in a Cyber Security company

Knowledge of web and network infrastructures

What’s in it for you?

Flex Life: While we offer remote, hybrid, & in-office options each position specifies the level of flexibility. Our Parisian office is located next to the Opera Garnier. You will also receive a 500€ stipend to help you set up your ideal workspace if you work hybrid or remotely.

If you are full remote, the SNCF dicount card is paid for you to come to our office to visit us & your team!

Generous Health Benefits: We have partnered with Kenko for your healthcare needs.

A 100€ annual allowance is provided for a leisure activity of your choice in Sports or Culture.

Annual allowance of €200 if you come to the office by bike to cover maintenance costs.

Professional Development: #Weaimhigh is part of our DNA, therefore we have invested in an internal Learning and Development platform and offer the opportunity to request additional training and support via your manager.

Events & Team building: #We care and we have fun! We organise Annual Company-Offsite, Events, Drinks, Winter Party, Lunch & Learns and much more are part of our Culture

Parent Care: Gift & care packages for parents.

PTO: Based on the country you are based from (e.g. 25 days in France).

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 inclusion. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.