Senior Data Scientist, API Security

The Data Science team in the API, AI & Data Security group develops game-changing technologies that redefine and disrupt our current Security product offerings, helping us protect its Data, its applications, and its APIs from Security and Fraud abuse.

As a Senior Data Scientist in the team, youll be prototyping, building, and delivering algorithms based on multiple data sources - such as LLM prompts and web APIs data of 100+ million consumers and businesses.

We are looking for team members that love new challenges, cracking tough problems, and working cross-functionally. You will be working end-to-end from ideation to implementation and have an opportunity to see your models make a significant impact on our products and customers security.

We encourage you to apply if you
Are excited and passionate about fighting security attacks and product abuse using advanced ML techniques, with cutting-edge and constantly evolving technology.
Love working as part of a team of experienced data scientists that love research and innovation just as much as they love getting models to production and making an impact.
Are interested in partnering with Security analysts and researches to implement your ideas into mitigation policies that keep the hackers and fraudsters away.
Take pride in having end to end ownership of your models from conception, throughout research and development to production and monitoring.

Responsibilities
Develop ML models to identify security exploits, that based on a wide range of algorithms and techniques (classification, clustering, graph based).
Explore various data sources while leveraging your domain knowledge to craft creative features to boost model performance.
Lead and innovate AI projects in the Security domain, lead discussions and understand the needs of the project from the business units and be able to integrate your domain knowledge into the algorithms you'll build and implement in production.
Be an active partner of the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation, and visualization.