Data Scientist (Search & Recommendation)

Binance
Hong Kong +1 more
RemoteCareer-pivot friendly

Who this role is best for

Aimed at experienced data scientists with content domain expertise who can lead AI product development in a global, collaborative environment.

Best fit for

  • Experienced data scientists with a background in content personalization and machine learning frameworks.
    — “Strong hands-on experience with popular machine learning frameworks such as PyTorch or TensorFlow.”
  • Candidates with a deep understanding of recommendation systems and business alignment.
    — “Deep understanding of recommendation systems within the content domain, leveraging business knowledge to drive AI product upgrades.”
  • Individuals who thrive in cross-functional, global teams and have a track record of collaboration.
    — “Excellent cross-team collaboration skills with the ability to work effectively with global content teams.”

Things to consider

  • The role may require adapting to varying work arrangements depending on the team.
    — “Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)”
  • Candidates must have at least five years of relevant industry experience, preferably in content domains.
    — “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).”

How to stand out

  • Highlight specific projects where you led content recommendation modules and improved user impact.
    — “Lead the development of core content recommendation modules using data-driven strategies to maximize content value and user impact.”
  • Demonstrate experience with large-scale systems and content-facing applications in your resume.
    — “Experience in large-scale application development, preferably in content-related user-facing applications.”
  • Emphasize your ability to collaborate across global teams and define success metrics.
    — “Collaborate with content, business, and product management teams to identify needs and opportunities within content scenarios, and jointly define success metrics.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • enhanced content matching and distribution
  • improved content experience
  • successful content recommendation modules
Typical background
MSc or PhD in Machine Learning, Computer Vision, Computer Science, or Applied Mathematics

Skills & requirements

Required

Machine LearningRecommendation SystemsContent MatchingData-driven StrategiesCross-team Collaboration

Preferred

Publications In Top-tier ConferencesContent Domain Experience

Stack & domain

PyTorchTensorFlowMachine LearningRecommendation SystemsCollaborationProblem-solvingFinanceCryptocurrency

About the role

Original posting from Binance via Greenhouse

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, and more. Our mission is to increase the freedom of money and 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-tier conferences or journals is a plus.

Why Binance

Shape the future of finance 

Collaborate with world-class talent in a user-centric global organization with a flat structure

Tackle challenging projects in a fast-paced and innovative enviornment with autonomy

Thrive in a results-driven workplace with opportunities for career growth and continuous learning

Competitive salary and company benefits

Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)

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

By submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Source: Binance careers (Greenhouse)

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