Binance Accelerator Program - Data Scientist (AI Agent Quality)

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means.   About Binance Accelerator Program Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE.   Who may apply Current university students and recent graduates. *Terms of employment / engagement shall be subject to contract and local applicable laws

This project is dedicated to developing and researching AI Agent decision-quality assurance and continuous improvement for compliance and KYC-related initiatives. Core work involves applying statistical and data-analytical methods to perform root-cause analysis of AI Agent decisions, as well as researching and developing model optimization algorithms to drive iterative project improvements.

Responsibilities Participate in and conduct research on decision-quality analysis and continuous improvement of the project Develop and research statistical algorithms and machine learning models; use SQL and Python to validate and build production applications of large language models (LLMs) Extract and analyze data to validate hypotheses and deliver quantifiable, actionable conclusions with clear implementation directions Assist in producing analytical reports and technical documentation; collaborate with the team to drive project progress Requirements Master's degree or above in a STEM field (CS, Statistics, Data Science, Applied Mathematics, EE, or related) Python proficiency : able to independently write data processing and analysis scripts (pandas, numpy, etc.) At least  one end-to-end project  where you drove the work from start to finish with a tangible deliverable Statistics / ML fundamentals : solid understanding of statistical models, machine learning model training and classification evaluation metrics (precision, recall, confusion matrix, FP/FN, and their business implications) English reading and writing  fluency (all project documentation and code are in English) Strong teamwork mindset and a sense of ownership/responsibility for the project Experience using AI coding assistants (Copilot / Cursor / Claude / ChatGPT) on real projects with a verification mindset  (not blindly trusting AI output) LLM / Prompt Engineering / Agent project experience SQL data extraction experience Background in financial risk, KYC, compliance, or anti-fraud   If you are someone who can wrangle messy data into actionable conclusions, leverages AI for efficiency but never takes its output on faith, and operates with genuine ownership — a STEM Master's-level candidate - we want you!