Назад
8 дней назад

Data Scientist, Analytics (AI)

Формат работы
remote (только APAC)
Тип работы
fulltime
Грейд
trainee
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR
Data Scientist, Analytics (AI): Building risk-detection models and feature-engineering pipelines for large-scale user behavior, fund-flow, and market data with an accent on machine learning, SQL, and distributed data processing. Focus on detecting syndicates and market manipulation, analyzing billions of records, and translating model performance into detection rate, false-positive rate, and latency metrics.

Location: Asia; work-from-home arrangement, subject to the business team's work requirements

Company

Binance operates a global blockchain ecosystem providing cryptocurrency trading, digital asset products, payments, institutional services, and Web3 features.

What you will do

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

Requirements

  • Currently pursuing a degree or recently graduated in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
  • Strong foundation in machine learning with proficiency in Python and SQL.
  • Familiarity with database systems such as MySQL, PostgreSQL, SQL Server, or MongoDB.
  • Comfort working with large-scale datasets; Apache Spark experience is beneficial.
  • Proficiency with AI coding agents such as Claude Code or Cursor.
  • Clear and effective English communication skills, with strong analytical and root-cause investigation abilities.

Culture & Benefits

  • Three- to six-month accelerator internship for current university students and recent graduates.
  • Networking, professional development, and transferable-skills opportunities.
  • Autonomous, fast-paced projects in a global, user-focused organization with a flat structure.
  • Career growth and continuous learning opportunities.
  • Competitive salary and company benefits.
  • Work-from-home arrangement, which may vary according to business needs.

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