Senior Data Scientist – Account Defender
Israel
Engineering – Research /
Full-time /
Hybrid
The Account Defender team at HUMAN is responsible for safeguarding user accounts across the internet by identifying and mitigating fraudulent activities post-login, including synthetic account creation, unauthorized account access (ATO), and coordinated malicious behavior.
We combine large-scale behavioral data with detection logic to stop sophisticated actors and protect real users.
We’re looking for a Senior Data Scientist to join our team and take a key role in shaping detection strategies, researching behavioral signals, and developing models that power HUMAN’s real-time fraud defenses.
This is a high-impact role that involves working closely with other researchers, data analysts, product managers, and engineers to build, deploy, and iterate on fraud detection capabilities at scale.
What you'll do:
- Lead end-to-end research projects to detect fake users and account takeovers – from exploring behavioral patterns and validating hypotheses to deploying logic in production and evaluating impact.
- Design and implement detection logic and features based on large-scale behavioral signals and fraud patterns.
- Analyze real-world traffic to surface anomalies and iterate on detection strategies that improve precision and coverage.
- Work closely with Product and Engineering to integrate solutions into production systems and influence roadmap decisions.
- Help shape the team’s detection methodologies, tooling, and best practices for scalable, real-time fraud mitigation.
Who you are:
- You have experience solving large-scale, data-intensive problems in production environments (we process trillions of events per day, so comfort with big data is essential).
- You are fluent in Python and SQL, and comfortable with modern data tools and platforms.
- You understand the strengths and trade-offs of various statistical and detection approaches, and can ship practical solutions to production.
- You are able to bring clarity to ambiguous problems and simplicity to complex ones.
- You write maintainable, object-oriented code and have strong debugging skills.
- You’ve worked on cross-functional projects with both technical and non-technical stakeholders, and are comfortable following SDLC best practices (version control, unit testing, CI/CD).
- Experience in fraud detection, account security, or the cybersecurity space is a strong advantage.
About the team:
Account Defender is a research-driven team focused on protecting the integrity of real user accounts.
We work with a wide variety of detection tools, including rule engines, velocity checks, clustering techniques, and real-time behavioral signals.
Our detection logic is deployed in production and includes both heuristic methods and real-time machine learning models.
The team’s work directly impacts customer trust and safety across some of the world’s largest platforms.
