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Binance - Accelerator Program - Data Scientist, Analytics

Australia; Hong Kong; Singapore; Taiwan; United Arab Emirates2d ago

In Office APAC Artificial Intelligence Data Analytics Data Scientist Data Science Intern Claude Cursor Mandarin SQL Python PostgreSQL MySQL SQL Server MongoDB Apache Spark PySpark

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. • Bilingual English/Mandarin is required to effectively coordinate with overseas partners and stakeholders. • Bilingual English/Mandarin

Responsibilities

• 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.

Benefits

• Shape the future of finance • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle challenging projects in a fast-paced and innovative enviornment with autonomy • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)