Назад
8 дней назад

Binance Accelerator Program - Data Scientist, Analytics (AI)

Формат работы
remote (только APAC)
Тип работы
fulltime
Грейд
trainee
Английский
c1
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist, Analytics (AI) (Machine Learning/Data Analytics): Building risk-detection models and SQL feature pipelines from large-scale user behavior, fund-flow, and market data with an accent on syndicate detection, behavioral sequencing, market manipulation detection, and feature discovery. Focus on processing billions of records, evaluating model performance through detection and false-positive metrics, and translating machine learning results into business impact.

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

Company

Binance operates a global blockchain ecosystem offering cryptocurrency exchange, digital asset, financial, payments, education, research, and Web3 services.

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 using PySpark, Hive, and Trino.
  • Develop 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 or recently completing a degree 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 MySQL, PostgreSQL, SQL Server, or MongoDB.
  • Experience working with large-scale datasets; Apache Spark experience is beneficial.
  • Proficiency with AI coding agents such as Claude Code or Cursor.
  • Fluent English is required for coordination with overseas partners and stakeholders.

Culture & Benefits

  • Three- to six-month accelerator internship for current university students and recent graduates.
  • Work with a global, user-focused organization and cross-functional teams.
  • Autonomy on fast-paced digital asset projects with opportunities for professional growth and continuous learning.
  • Work-from-home arrangement, which may vary according to the business team's work requirements.
  • Competitive salary and company benefits.

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