Binance Accelerator Program - Data Scientist, Analytics

Responsibilities

About the Team
The Risk AI DS team builds risk-detection models on large-scale user behavior, fund-flow and market data.

What You'll Do

• Own a real-world project stream end-to-end, such as syndicate detection, user behavior sequencing, market manipulation detection, or feature discovery.
• Process and analyze billions of records using PySpark, Hive, and Trino, and develop robust SQL pipelines for feature engineering and validation.
• Build, evaluate, and iterate on machine learning models, translating model performance into meaningful business metrics such as detection rate, false-positive rate, and latency.

Requirements

• Currently pursuing a degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Strong foundation in machine learning concepts, with proficiency in Python and SQL.
• Familiarity with database management systems such as MySQL, PostgreSQL, SQL Server, or MongoDB.
• Comfortable working with large-scale datasets; experience with Apache Spark is a plus.
• Proficient in leveraging AI coding agents, such as Claude Code or Cursor, to accelerate development and improve productivity.
• Proactive and detail-oriented, with a strong instinct for investigating data anomalies and identifying root causes.
• Fluency in English is required to coordinate with overseas partners and stakeholders, articulate technical findings clearly, and collaborate effectively across teams. Additional languages would be an advantage.