Pioneer Talent Program Research Data Scientist

About Us

Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 230 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

About the Pioneer Talent Program

Binance's Pioneer Talent Program is designed to nurture ambitious early-career professionals. The program offers full-time roles where participants will gain hands-on expertise via a tailored training curriculum and personalized 1:1 mentorship from industry leaders. Dive behind the scenes of the world's leading blockchain ecosystem while building the skills to thrive in Web3. Launch your career with purpose—join us in shaping the future of digital innovation.

Who May Apply

Candidates with up to 5 years of relevant work experience

About the Role

We are seeking a Research Data Scientist who combines rigorous research thinking with a drive to see findings land in production. You will conduct original research in generative AI and LLMs applied to crypto-native problems — spanning reasoning under uncertainty, agent reliability in adversarial financial environments, and multi-modal market intelligence.

This is a research-first role at the intersection of three critical frontiers: post-training alignment and reasoning for financial agents, efficient inference and test-time scaling, and multi-agent coordination in open, adversarial environments. The goal is real-world impact — not just papers, but agents that trade, analyze, and act for millions of users.

You formulate research questions, design rigorous experiments, build evaluation frameworks, and collaborate with engineers to bring research into production.