Data Scientist – Recommendation, Square Community

🕒 June 12

🇸🇬 Singapore – Remote

👨‍🎓 Internship

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Binance

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2017

₿ Crypto

💳 Fintech

💰 Initial Coin Offering on 2020-12

Crypto • Fintech

Binance is the world's leading cryptocurrency exchange, serving over 235 million registered users across more than 180 countries. The platform offers a wide array of services, including the trading of over 350 cryptocurrencies in Spot, Margin, and Futures markets. Users can also buy and sell crypto via Binance P2P, earn interest through Binance Earn, and engage in NFT trading on the Binance NFT marketplace. Binance provides low transaction fees and diverse payment options, making it a preferred choice for cryptocurrency enthusiasts worldwide.

📋 Description

• Analyze user behavior, content quality, creator performance, and feed consumption patterns to identify recommendation improvement opportunities • Support optimization of recommendation scenarios including 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 covering recall, ranking, cold-start, diversity, personalization, and traffic allocation • Conduct A/B testing, metric monitoring, bad-case analysis, and experiment deep dives • Explore LLM and multimodal model applications 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 to improve content distribution, user engagement, and community growth

🎯 Requirements

• Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field • Current university students and recent graduates may apply • 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) • Opportunities for career growth and continuous learning • Networking and development opportunities • Flat organizational structure • Autonomy in an innovative environment