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Binance Accelerator Program - Data Scientist (Recommendation/Square Community)

5 hours, 32 minutes ago
Asia, Taiwan, Hong Kong
Internship
Entry Level
Data Scientist
Data Science and Analytics
LLM Machine Learning Python SQL Statistics
Apply Now
Binance

Binance

Binance operates as a leading blockchain ecosystem and digital asset exchange, integrating digital technology with financial services to facilitate the trading and management of cryptocurrencies.

Capital Markets
5K-10K
Founded 2017
$10M raised
View All Jobs 310

Description

  • Analyze user behavior, content quality, creator performance, and feed consumption patterns to identify recommendation opportunities.
  • Support optimization of recommendation scenarios such as Feed, Hot Tab, Topic, News, Trading Analysis, and creator distribution.
  • Build and refine metrics for content quality, user interest profiling, creator quality, community health, and trading-related content.
  • Participate in recommendation strategy design, including recall, ranking, cold-start, diversity, personalization, and traffic allocation.
  • Conduct A/B testing, metric monitoring, bad-case analysis, and experiment deep dives to evaluate algorithm and product impact.
  • Explore applications of LLMs and multimodal models in content understanding, topic tagging, hot event detection, and personalized distribution.
  • Work with engineering teams to improve data pipelines, feature logging, experiment tracking, and recommendation system efficiency.
  • Collaborate with data scientists, algorithm engineers, product managers, and business teams on data-driven recommendation improvements.

Requirements

  • Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  • Strong analytical skills with a solid understanding of statistics, machine learning, and data mining.
  • Proficient in SQL and at least one programming language such as Python.
  • Familiarity with recommendation systems, ranking models, user profiling, A/B testing, or causal analysis.
  • Good business sense and the ability to translate data insights into product or algorithm improvements.
  • Strong communication skills and the ability to work cross-functionally with product, algorithm, engineering, and operations teams.
  • Interest in Web3, crypto, financial markets, online communities, or content recommendation is a plus.
  • Current university students and recent graduates are eligible to apply.

Benefits

  • Competitive salary and company benefits.
  • Work-from-home arrangement, depending on the business team’s needs.
  • Opportunities for career growth and continuous learning.
  • Access to a collaborative, world-class talent environment with a flat structure.
  • Autonomy to work on unique, fast-paced projects in an innovative environment.

Interested in this position?

Apply directly on the company website

Apply Now

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