Data Scientist (Recommendation Systems)

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 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

As a Data Scientist for Binance Square , you will be responsible for designing and managing recommendation services and models that power personalised user experiences on our social content platform. You will apply advanced machine learning personalisation techniques, leveraging design patterns and tools to deliver highly relevant and engaging content to users. With a strong foundation in recommendation systems and an understanding of the Web3 and crypto business domain, you will drive the development of core modules using data-driven strategies to maximise impact. You will also play a key role in identifying user needs and growth opportunities, collaborating with Business and Product teams to define success metrics and measure the value of AI-driven personalisation. This role requires both technical depth and product intuition to elevate the impact of Binance Square as the go-to platform for the global crypto community.

Responsibilities :

• Design, develop, and manage recommendation services and models to power personalised user experiences.
• Apply machine learning–driven personalisation methods, design patterns, and tools to deliver scalable solutions.
• Leverage deep expertise in recommendation systems combined with business domain knowledge to elevate the impact of AI products.
• Drive the development of core modules using data-driven strategies to maximise business and user value.
• Partner with Business and Product teams to identify opportunities, define success metrics, and ensure measurable impact.

Requirements :

Preferred Qualifications :

Why Binance

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

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