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Data Scientist – Recommendation/Square Community

Data ScientistData ScientistFull TimeRemoteSeniorTeam 1,001-5,000Since 2017H1B No SponsorCompany SiteLinkedIn

Location

Singapore

Posted

3 days ago

Salary

0

Seniority

Senior

Bachelor DegreeEnglishPythonSQLWeb3

Job Description

Data Scientist – Recommendation/Square Community

Binance

• Analyze user behavior, content quality, creator performance, and feed consumption patterns to identify opportunities for recommendation improvement. • Support the optimization of key recommendation scenarios, including Feed, Hot Tab, Topic, News, Trading Analysis, and creator distribution. • Build and refine data 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 the application 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.

Job 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 and solid understanding of statistics, machine learning, and data mining.
  • Proficient in SQL and at least one programming language such as Python.
  • Familiar with recommendation systems, ranking models, user profiling, A/B testing, or causal analysis.
  • Good business sense and ability to translate data insights into product or algorithm improvements.
  • Strong communication skills and 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.

Benefits

  • Competitive salary and company benefits
  • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

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