Senior Data Scientist (Blocktracer/Algo)

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ 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.
We are looking for a talented data scientist / algo engineer to join our on-chain analytics team, focusing on entity clustering, fund tracing, risk modeling, and behavioral analysis across multiple blockchains.

Responsibilities

• Design and implement efficient blockchain address clustering algorithms, supporting multi-chain and cross-chain analysis
• Develop risk scoring and behavior recognition models to enhance address and entity risk assessment
• Build anomaly detection systems to identify scams, mixers, and other illicit activities
• Monitor algorithm performance, ensure low false positive rates, and continuously optimize
• Stay updated with industry trends and apply cutting-edge technologies to improve algorithms

Requirements

• Bachelor’s degree or above in Computer Science, Mathematics, or related fields
• 3–5  years of applied data science experience in blockchain analytics, fintech, or cybersecurity
• Strong programming skills in Python, C++, or Java
• Experience with blockchain data structures and UTXO/EVM models preferred
• Familiarity with machine learning techniques and data analysis
• Exposure to apply large language models (LLMs) to enrich on-chain intelligence interpretability
• Good problem-solving skills and ability to work in a fast-paced environment
• Comfortable working cross-functionally with engineers to operationalize data models at scale.
• Strong communication skills and team collaboration mindset

Preferred Qualifications

• Authored or co-authored research in areas such as graph learning, entity resolution, or crypto-economics.
• Prior experience at blockchain intelligence firms (e.g., Chainalysis, Elliptic, TRM Labs, Nansen).
• Delivered AI research or open-source contributions integrating LLMs with blockchain analytics.
• Knowledge of AML/CFT compliance, DeFi security, or protocol-level modeling.