Data Scientist Lead (Threat Detection) m/f

About the team:

Made up of six subteams (Dashboard, Engine, Infrastructure, Integrations, Threat Research & Security), 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 29 data centers around the world, deployed using Docker.

We deploy on AWS, Scaleway and GCP, using Docker, Ansible and Terraform, and monitor with Grafana and Prometheus. We handle an average of 8 billion requests per day and manage more than 300 TB of data per month.

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.

You will be more specifically in charge of:

• Contributing and challenging ML topics at DataDome in the field for fraud detection
• Pushing ML-based detection improvements in production with the help of other technical teams
• Solving high business-impact problems using your Data Science skills, acting like a problem solver for product teams, and delivering state of the art research to production.
• Shaping data products in alignment with product strategy
• Leading efforts in Data Science intelligence, being aware of the latest ML-related technologies and evolution of the research in the fraud detection domain
• Providing leadership in data science methodologies, ensuring best practices and processes are being carried out in all of the projects
• Mentoring more junior team members
• Representing DataDome expertise in the field at internal and external conferences and customer events

It would be great if you had:

• At least 7+ years of experience in a Data Scientist role
• Strong programming skills in Python
• Strong computer science background
• Good knowledge of ML algorithms
• Ability to learn and implement new ML approaches (from papers, blogs, etc.)
• Good communication and writing skills (mainly in English)
• Autonomy, rigor, and passion for ML!

Bonus points:

• Good understanding of how the web works: browser vs server, GET/POST requests, how a login works.
• Has already done a simple bot/crawler or could discuss main automation techniques: HTTP library, headless browser, real browser.
• Has knowledge of Scala or Java
• Has experience in Graph Neural Networks and/or ML online training.
• GCP and VertexAI knowledge or certification

What type of project should you expect?

Fighting bots and detecting fraud is an ever-evolving challenge. For example, you could implement a state-of-the-art Graphical Neural Network to enable a Weak Supervision approach in our ML pipelines.

Or, you could design an IP scoring ML pipeline to flag residential proxies at scale and in real-time.

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 :)

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.
• Generous Health Benefits: We have partnered with Alan for your healthcare needs.
• Professional Development: #Growth 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: Feel the #TeamSpirit both virtually & onsite, with several events & workshops planned throughout the year, including an annual offsite event, quarterly online and offline events and parties, lunch & learns, & much more.
• Parent Care: Gift & care packages for parents.
• PTO: Based on the country you are based from (e.g. 25 days in France)

DataDome’s bot & online fraud protection platform stops sophisticated attacks with unparalleled accuracy and zero compromise. Our multi-layered machine learning detection engine analyzes 5 trillion signals daily and scans every request in real-time. Hundreds of enterprises worldwide—including Rakuten, AllTrails, Soundcloud, and Helly Hansen—trust DataDome’s solution and 24/7 SOC and Threat Research experts to protect their websites, mobile apps, and APIs against online fraud, ATO, carding, scraping, layer 7 DDoS, credential stuffing, ad fraud, and more.

With record time to value, DataDome is fully transparent, easy to deploy, and frictionless for consumers. We offer the only secure, user-friendly, and privacy-compliant CAPTCHA and Device Check, the first invisible alternative. With 26 regional PoPs and autoscaling technology, DataDome responds to requests with zero latency and no impact on speed or UX. DataDome also offers additional solutions, specialized to combat human-driven account fraud and bot-driven ad fraud.

DataDome is consistently ranked a top G2 Leader in Bot Detection & Mitigation, was named a Strong Performer in the most recent Forrester Wave: Bot Management, ranked on the Deloitte Technology Fast 500 and Inc. 5000 lists, and won the 2023 SC Awards Europe for Best use of Machine Learning/AI. Certified a Great Place to Work in the US and France, DataDome’s team of BotBusters spans the globe.

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.