Senior Data Scientist (Content, Feeds, Recommendation)

About Us

Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

About the Role

Data-driven business is the core in helping us use cloud-native platforms to serve tens of millions of cryptocurrency users. Engineers and Data Scientists across the company use our data platform to conduct interesting and impactful analyses for continuous innovations.

As a data scientist, you will have the opportunity to leverage rich data with PB-level scalability and state-of-the-art machine learning infrastructure to develop data products used by our tens of millions of cryptocurrency users. You will collaborate with a strong team of engineers, data analysts, business operations, and product/marketing managers to define and build solutions, features, algorithms, and products based on our rich data and cutting-edge machine learning technology.

We have multiple openings available with many more coming due to rapid business growth.

Sample Projects

• User behavior and pattern analysis: KYC, Anti-Money Laundering, and abnormal user automated recognition to provide users with safe and more accurate information services
• Digital data assets: Obtain blockchain-based data to perform chain-based data analysis, prediction, and recommendations
• Personalized recommender system: Leverage PB-scale data warehouse to perform in-depth analysis and recommender systems for end-users
• Data-driven customer feedback and satisfaction analysis: Leverage machine learning techniques to understand customer feedback and satisfaction with proven data evidence and analysis

Key Requirements

• Quick learner with stellar machine learning skills
• Rich and solid experience from inception to business impact
• Strong communication capabilities
• Ability to work well in cross-functional teams with data users from different marketing and consumer teams