8 дней назад
Binance Accelerator Program - Data Scientist, Analytics (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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