About the Role

As a Data Scientist on our team, you’ll be at the forefront of safeguarding Binance’s ecosystem by leveraging data to detect anomalies, assess threats, and predict potential risks across the platform. Our mission is to build intelligent, scalable systems that proactively identify fraud, prevent abuse, and ensure the integrity of user activity without compromising on performance or user experience. Join us in building a safer, smarter crypto future.

Responsibilities

• Design, develop, and assess AI models focused on detecting P2P scams, with a particular emphasis on document verification and payment proof tampering.
• Research and prototype large language model (LLM)-based solutions to enhance automated detection, generate interpretable rule-based explanations, and support scam pattern discovery.
• Investigate and implement cutting-edge image embedding techniques to extract meaningful features for downstream applications such as clustering and classification.
• Collaborate closely with data scientists and engineers to optimize the detection pipeline and deliver actionable insights to key stakeholders.

Requirements

• Currently enrolled as a full-time or part-time undergraduate, Master’s, or PhD student, or a recent graduate.
• Solid understanding of AI principles and mathematical foundations, including deep learning, generative AI, reinforcement learning, prompt engineering, and optimization techniques.
• Strong interest in Agentic Prompt Engineering and its applications.

Preferred Qualifications:

• Commitment to a minimum duration of 1 year.
• Proficiency in programming languages, particularly Python and SQL.
• Practical experience in developing computer vision and/or image analysis models.

• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.