Decision Scientist

About the role:

As a Decision Scientist at Forter, you will own one of the company’s most critical assets: the accuracy, robustness, and performance of what is widely recognized as the leading e-commerce fraud decisioning system in the industry.

You will be expected to think creatively and push boundaries, constantly improving how we identify fraud and protect legitimate customers. You will design logical and technical solutions to real, constantly evolving challenges faced by some of the world’s largest online retailers. Your work will operate at the intersection of deep data research, real-time production decisioning systems, and real-world impact.

You will join Forter’s Decision Science and Analytics department, a high-bar, fast-moving 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 roles, allowing you to shape your career based on your strengths.

Your work will directly shape Forter’s product, protect hundreds of millions of consumers, 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 Forter’s live production systems
• Research complex fraud patterns, adversarial behaviors, and emerging threats
• Leverage rich and diverse datasets to generate actionable insights, build new system components, and advance feature engineering efforts
• Use agentic tools such as Claude Code to develop automatic tools and processes that improve the accuracy, scalability, and efficiency of our systems
• Collaborate closely with Engineers, Product Managers, and business stakeholders to build the next generation of Forter’s AI-driven technology
• Use agentic tools such as Claude Code to continuously improve the systems and processes around you, and to build new ones.

What you'll need:

• Psychometric score above 700 or equivalent (e.g. GMAT) - we use this as a baseline measure of structured reasoning and analytical speed
• Relevant experience in one of the following paths:
  
  • At least 4 years of hands-on experience in a relevant position: quantitative hypothesis-driven research, algorithmic development, or product development
  • Or an MSc or PhD in a quantitative field such as Physics, Economics, Neuroscience, Biotechnology, Computer Science, or similar
• A record of high achievement, in whatever form that's taken in your life - academic, professional, military, or otherwise
• 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
• Natural curiosity and the ability to understand systemic behaviors and adversarial tactics
• Proactive and results-driven mindset, with the ability to work independently within a collaborative team
• Experience building things with AI: agentic workflows, apps, automations. Bring an example you built and can walk us through. You should be enthusiastic about and comfortable with agentic tools

Bonus points for:

• Deep familiarity with machine learning concepts and hands-on practice
• Background in risk analysis, intelligence, or adversarial research