Binance Accelerator Program Data Scientist Risk P2P Content Risk AI

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.

About the Binance Accelerator Program

Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the world's leading blockchain ecosystem.

Who May Apply

• Current university students
• Recent graduates

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.

Responsibilities

• Develop advanced AI and machine learning models for P2P and content risk detection
• Analyze complex data sets to identify potential fraudulent activities
• Create scalable risk assessment frameworks
• Collaborate with cross-functional teams to improve platform security

Requirements

• Strong background in data science, machine learning, or related field
• Proficiency in Python, R, or similar programming languages
• Experience with machine learning algorithms and statistical modeling
• Excellent analytical and problem-solving skills

Nice to Have

• Experience in blockchain or cryptocurrency risk analysis
• Knowledge of fraud detection techniques
• Background in AI and predictive modeling

Benefits

• Competitive compensation
• Opportunity to work in a cutting-edge Web3 environment
• Professional development and networking opportunities
• Exposure to global blockchain technology