Data Scientist (Search & Recommendation)
Binance
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Overview
Join Binance as a Data Scientist to design and manage search recommendation services, leveraging machine learning to enhance content matching and distribution efficiency in a leading blockchain ecosystem. 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.
What you'll do
- •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.
Conditions
- •Shape the future with the world’s leading blockchain ecosystem.
- •Collaborate with world-class talent in a user-centric global organization with a flat structure.
- •Tackle unique, fast-paced projects with autonomy in an innovative environment.
- •Thrive in a results-driven workplace with opportunities for career growth and continuous learning.
- •Competitive salary and company benefits.
- •Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team).