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Data Scientist (Search & Recommendation)
Binance —Dublin, County Dublin
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- No degree
Quick apply
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- Part-time
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Data Scientist (Search & Recommendation)

Binance -
Dublin, County Dublin

Quick apply

Job details

Full-time

Qualifications

TensorFlow
Doctoral degree
Master's degree
AI

Full job 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-tier conferences or journals is a plus.

Working at Binance

Be a part of the world’s leading blockchain ecosystem that continues to grow and offers excellent career development opportunities

Work alongside diverse, world-class talent in an environment where learning and growth opportunities are endless

Tackle fast-paced, challenging and unique projects

Work in a truly global organization, with international teams and a flat organizational structure

Competitive salary and benefits

Flexible working hours, remote-first, and casual work attire

Learn more about how Binancians embody the organization’s core values, creating a unified culture that enables collaboration, excellence, and growth.

Apply today to be a part of the Web3 revolution!

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 confirm that you have read and agree to our Candidate Privacy Notice.

Why Binance

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)

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 confirm that you have read and agree to 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.

Quick apply

Refine Your Search

applied scientist, ai ops jobs

Data Scientist (Search & Recommendation)

Data Scientist II

Insight Analyst

Engineer, Product Engineering (Mfg.)

Director, PV Innovation

(HubSpot) Operations Systems Specialist

Senior Insights Analyst

Head of Transformation, CX & Operations

Product Manager

Product Owner

Program Lead, e-Invoicing

Staff Network Production Engineer, Network Ops

Staff Machine Learning Engineer

Product Manager

Technical Product Manager - (Clinical Integrations) - Ireland

Product Manager - Quality and Regulatory Systems

Field Service Engineer

Software Architect - Analytics & Reporting

Software Engineer 3

Director, Data engineering

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