Binance Accelerator Program - Data Scientist, Analytics
Key Skills for This Role
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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.
About Binance
Binance is one of the world's largest cryptocurrency exchanges by trading volume, providing a platform for trading digital assets and blockchain services.
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