Binance
Data Science/AI
DataScientist(Search&Recommendation)
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Scientist (Search & Recommendation) at Binance. Skills: Search recommendation services, Machine learning, Content recommendation. Design search recommendation services. Manage search recommendation models”
What You'll Achieve.
Improve content experience; Improve business outcomes
Industry & Context.
What They're Looking For.
Must Have
MSc or PhD, 5 years relevant industry experience, PyTorch or TensorFlow experience, Large-scale application development experience, Content-related user-facing applications experience, Cross-team collaboration skills
Nice to Have
Experience in content domain, Publication record at top-tier conferences or journals
What You'll Do.
Design search recommendation services
Manage search recommendation models
Utilize machine learning personalization methods
Enhance content matching
Improve content distribution efficiency
Drive AI product upgrades
Improve content experience
Improve business outcomes
Lead development of content recommendation modules
Maximize content value
Collaborate with content teams
Collaborate with business teams
Collaborate with product management teams
Identify needs within content scenarios
Identify opportunities within content scenarios
Define success metrics
How You'll Work.
Team & Collaboration
Cross-team collaboration; Global content teams
Full Job Description
## Description 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. ## Responsibilities Design and manage search recommendation services and models to support the content team, empowering content ecosystem development. Utilize machine learning-based personalization methods, design patterns, and tools to enhance content matching and distribution efficiency. Deep understanding of recommendation systems within the content domain, leveraging business knowledge to drive AI product upgrades and improve content experience and business outcomes. Lead the development of core content recommendation modules using data-driven strategies to maximize content value and user impact. Collaborate with content, business, and product management teams to identify needs and opportunities within content scenarios, and jointly define success metrics. ## Requirements MSc or PhD in Machine Learning, Computer Vision, Computer Science, or Applied Mathematics, with at least 5 years of relevant industry experience (experience in the content domain is preferred). Strong hands-on experience with popular machine learning frameworks such as PyTorch or TensorFlow. Experience in large-scale application development, preferably in content-related user-facing applications. Excellent cross-team collaboration skills with the ability to work effectively with global content teams. Publication record at top-
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