Senior Data Scientist

We are seeking a talented and highly experienced Senior Data Scientist to join our Data Science team within the critical Risk domain. This role uniquely combines hands-on development of vital risk prevention models, contributing to the technological strategy, and driving innovation in the field of AI Agents.

Responsibilities

Hands-on Development: Actively leading the design, building, and deployment of critical Machine Learning and Gen-AI models for identifying, classifying, and preventing risks and fraud; Technical Leadership & Strategy: Contributing to the Data Science strategy for the Risk domain, identifying critical business and technological opportunities, and setting high technical standards; AI Agents Innovation: Driving the team's efforts in the field of AI Agents within Risk, build and evaluate agentic workflows that triage and explain risk decisions, with eval harnesses you can trust to gate releases and ensure reliability and accuracy in production; Production Ownership: Ensuring Data Science solutions transition reliably, scalably, and efficiently from concept to production, making a significant impact on the business

Requirements

7+ years of experience as a Data Scientist, with a proven track record of applying advanced statistical and machine learning methods on real-world problems (or 3+ years with a PhD); Strong background and practical experience leading the end-to-end execution of complex Machine Learning projects; Comfort with the realities of risk modeling: highly imbalanced and adversarial data, delayed/noisy labels, and the precision-vs-recall tradeoffs of acting on legitimate users; Full ownership of projects from initial idea through production deployment, working closely with engineering to get there; Experience in Generative AI, defining, building and evaluating AI-agents and leveraging foundational language models for introducing advanced new capabilities within existing products and systems; Experience in working with large-scale data processing pipelines, Cloud Computing and Machine Learning Operations; Demonstrated habit of working with AI: actively use LLMs/agentic tooling in your day-to-day workflow, and you instinctively turn recurring problems into reusable automation; B.Sc in Computer Science, Software Engineering, Mathematics, Electrical, Statistics, or a related quantitative field

Nice to have

Experience developing models in the Risk domain (such as Fraud Detection, Anomaly Detection, Anti-Money Laundering) or Fintech; M.Sc/PhD in Computer Science, Software Engineering, Mathematics, Electrical, Statistics, or a related quantitative field