Data Scientist (Search & Recommendation)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist (Search & Recommendation): Designing and managing search recommendation services and models to support the content ecosystem with an accent on machine learning-based personalization and distribution efficiency. Focus on leading the development of core recommendation modules using data-driven strategies to maximize user impact and content value.
Location: Remote (Asia)
Company
is a leading global blockchain ecosystem and the world’s largest cryptocurrency exchange, dedicated to advancing the freedom of money through an inclusive financial ecosystem.
What you will do
- Design and manage search recommendation services and models to support the content team.
- Utilize machine learning-based personalization methods to enhance content matching and distribution efficiency.
- Leverage business knowledge to drive AI product upgrades and improve content experience.
- Lead the development of core content recommendation modules using data-driven strategies.
- Collaborate with content, business, and product management teams to define success metrics and identify opportunities.
Requirements
- MSc or PhD in Machine Learning, Computer Vision, Computer Science, or Applied Mathematics.
- At least 5 years of relevant industry experience.
- Strong hands-on experience with 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 for working with global teams.
Nice to have
- Experience in the content domain.
- Publication record at top-tier conferences or journals.
Culture & Benefits
- Opportunity to shape the future of the world’s leading blockchain ecosystem.
- Collaboration with world-class talent in a flat, user-centric organization.
- Autonomy to tackle fast-paced, innovative projects.
- Results-driven workplace with opportunities for career growth and continuous learning.
- Competitive salary and company benefits.
- Work-from-home arrangement.
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