Binance Accelerator Program - Data Scientist, Analytics

Binance

United States

Remote

USD 34,000 - 55,000

Full time

2 days ago
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Job summary

Binance ищет стажёра/аспиранта в команду Risk AI DS. Вы будете заниматься обработкой и анализом больших данных, строить SQL-пайплайны и участвовать во внедрении моделей машинного обучения для обнаружения рисков и мошенничества.

Требуется реальная база знаний в ML, Python и SQL, работа с крупными датасетами и английский/мандарин на уровне для взаимодействия с партнёрами за рубежом. Удалённая первая рабочая схема приветствуется.

Qualifications

  • Требуется очное/очно-дистанционное обучение по специальности в области компьютерных наук, данных или смежной дисциплины.
  • Глубокие знания ML- концепций и практик.
  • Опыт работы с Python и SQL на уровне, необходимом для анализа больших наборов данных.
  • Опыт работы с СУБД (MySQL, PostgreSQL, SQL Server, MongoDB) приветствуется.
  • Опыт работы с Apache Spark или аналогичными технологиями будет преимуществом.

Responsibilities

  • Ведение реального проекта от идеи до внедрения (например,检测 аномалий, анализ поведения пользователей, обнаружение манипуляций на рынке).
  • Обработка миллиардов записей с помощью PySpark, Hive и Trino; создание robust SQL-пайплайнов для feature engineering и валидации.
  • Разработка, оценка и улучшение моделей машинного обучения, перевод результатов в бизнес-метрики (раcчёт обнаружения, уровень FP, задержка).

Skills

ML-основы
Python
SQL
Билингвальный английский/мандарин

Education

Степень в CS/DS/Statistics/Mathematics/Engineering

Tools

MySQL
PostgreSQL
SQL Server
MongoDB
Apache Spark
Claude Code / Cursor

Job description

Описание:

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ 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. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world. The Risk AI DS team builds risk-detection models on large-scale user behavior, fund-flow and market data.

Задачи:

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.

Требования:

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.

Why Binance 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)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you acknowledge that you have read our Candidate Privacy Notice. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but does not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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