Data Scientist (Search & Recommendation)

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.

• 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)

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