Binance Accelerator Program - Data Scientist, Analytics
Indexed description
About Binance Accelerator Program
Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE.Who may apply
Current university students and recent graduates.*Terms of employment / engagement shall be subject to contract and local applicable lawsResponsibilities
- 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.
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
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.
Originally posted on Himalayas
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