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Contenu de l'offre Data Analyst F - M H/F chez DataDome
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Who are they?
DataDome's bot and online fraud protection detects and mitigates attacks with unparalleled accuracy and zero compromise. Our machine learning solution analyzes 3 trillion signals per day to adapt to new threats in real time. Hundreds of enterprises worldwide-including Reddit, Patreon, and AngelList-trust DataDome's solution and 24/7 SOC experts to protect their mobile apps, websites, and APIs against online fraud, ATO, carding, scraping, layer 7 DDoS, credential stuffing, and more.
A force multiplier for IT and security teams, DataDome is fully transparent, easy to deploy, and frictionless for consumers. We offer the only secure, user-friendly, and privacy compliant CAPTCHA integrated with our complete 360° bot detection solution. With 25+ regional PoPs and autoscaling technology, DataDome responds to requests with zero latency and no impact on the speed of protected platforms.
In 2022, DataDome was ranked the top G2 Leader in Bot Detection & Mitigation, named a Strong Performer in the Forrester Wave : Bot Management, and placed 21st in cybersecurity on the Inc. 5000. Certified a Great Place to Work in the US and France, DataDome's dedicated team of BotBusters spans the globe as far as its high-profile customer base.
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 25 data centers around the world, deployed using Docker.
We deploy on AWS, Scaleway, Vultr, 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. We use Slack, GitHub, Hangouts, & StackOverflow for Teams. 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.
We are looking for a Cyber Security Analyst w/m who will BE in charge of analyzing the bot traffic collected by our detection platform, creating dedicated data visualizations, helping our customers to decide how to act when they are encounter bot attacks.
You will BE more specifically in charge of :
- BE part of our threat research team, collaborate with threat researches and data scientists to challenge our detection engine on a daily basis
- Analyzing huge web traffic data sets (across more than 100 billions documents) to identify and block malicious traffic
- Creating automates/scripts to detect outliers in our global traffic
- Contributing to support by analyzing past attacks to strenghten our detection !
- Identifying potential attacks and add new alerts to our detection platform