3 дня назад
Data Scientist (Web3)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (Web3): Support the development of recommendation and community intelligence systems for Square with an accent on content distribution and user engagement. Focus on optimizing recommendation scenarios, building data metrics for content quality, and exploring LLM applications for personalized distribution.
Location: Asia, Work-from-home arrangement
Company
is a leading global blockchain ecosystem and the world’s largest cryptocurrency exchange.
What you will do
- Analyze user behavior, content quality, and consumption patterns to identify recommendation improvements.
- Optimize recommendation scenarios including Feed, Hot Tab, Topic, News, and creator distribution.
- Build and refine data metrics for content quality, user interest profiling, and community health.
- Design recommendation strategies focusing on recall, ranking, cold-start, and personalization.
- Conduct A/B testing and bad-case analysis to evaluate algorithm and product impact.
- Explore LLMs and multimodal models for content understanding and personalized distribution.
Requirements
- Must be a current university student or recent graduate.
- Pursuing or holding a degree in Computer Science, Data Science, Statistics, Mathematics, or Engineering.
- Strong analytical skills and solid understanding of statistics, machine learning, and data mining.
- Proficiency in SQL and at least one programming language such as Python.
- Familiarity with recommendation systems, ranking models, user profiling, or A/B testing.
- Strong communication skills for cross-functional collaboration.
Nice to have
- Interest in Web3, crypto, financial markets, online communities, or content recommendation.
Culture & Benefits
- Opportunity to collaborate with world-class talent in a user-centric global organization with a flat structure.
- Autonomy to tackle unique, fast-paced projects in an innovative environment.
- Results-driven workplace with opportunities for continuous learning and career growth.
- Competitive salary and company benefits.
- Flexible work-from-home arrangement.
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