Required Data Researcher
Israel - Tel Aviv
About the role:
As a Data Researcher, you will own one of the companys most critical assets: the accuracy, robustness, and performance of what is widely recognized as the leading e commerce fraud decisioning system in the industry.
In this role, you are expected to think creatively and push boundaries. You will design smart logical and technical solutions to real and constantly evolving business challenges faced by some of the worlds largest and most sophisticated online retailers. Your work will operate at the intersection of deep data research, production systems, and real world impact.
You will also have exposure to key customers, working closely with them to deliver analytical insights and adapt solutions to their unique needs. This direct connection between research, product, and customer impact is a core part of the role.
You will join a high caliber, fast moving research group with a strong culture of excellence, curiosity, and ownership. We work in an informal, collaborative environment where strong opinions are welcome and great ideas move fast. The role offers meaningful growth opportunities, with clear paths toward both senior individual contributor and managerial tracks, depending on where you want to take your career.
Your work will directly shape our product, protect millions of consumers and merchants, and help define the future of trust in digital commerce.
What you'll be doing:
Invent, design, implement, and continuously refine the core decisioning logic and models that run in our live production systems
Research complex fraud patterns, adversarial behaviors, and emerging global threats at scale
Leverage rich and diverse datasets to generate actionable insights, build new system components, and advance feature engineering efforts
Develop, prototype, and automate tools and processes that improve the accuracy, scalability, and efficiency of our systems
Collaborate closely with Data Scientists, Analysts, Researchers, and Engineers to build the next generation of our AI driven technology.
Requirements: Psychometric score above 700 or equivalent (e.g. GMAT) - we value this as an indicator of the high-speed analytical reasoning and structured thinking required for this role
Relevant experience in one of the following paths:
At least 4 years of hands on experience in quantitative research or a related role focused on production oriented analytics and hypothesis driven research
Or an MSc or PhD in a quantitative field such as Physics, Economics, Neuroscience, Biotechnology, Computer Science, or similar
A record of high achievement - academically, professionally, or in other personal pursuits
Strong analytical and logical reasoning skills, with a proven ability to break down and solve highly complex problems
Extensive experience working with large scale datasets using scripting languages such as Python, R, or Matlab
Excellent communication skills, with the ability to clearly explain complex technical ideas and research outcomes to a wide range of audiences
Bonus points for:
Experience working with SQL and big data technologies such as Spark
Deep familiarity with machine learning concepts and hands on practice
Background in risk analysis, intelligence, or adversarial research.
This position is open to all candidates.