Data Scientist (Search & Recommendation) (Fully Remote)

Binance; United States; Remote; USD 180,000 - 250,000; Full time

Benefits offered by this job

Remote-first work-from-home

Job summary

Binance is seeking a seasoned researcher/engineer to design and manage search recommendation services powering our content team. You will apply ML-based personalization to improve content matching and distribution, and lead core recommendation modules with data-driven strategies.

We value strong hands-on experience with PyTorch or TensorFlow, a track record of cross-team collaboration, and a publication record. This remote-first role offers global impact at a fast-growing fintech company.

Qualifications

• 5+ years of industry experience in ML/AI.
• MSc or PhD in ML, CS, or Applied Math.
• Proficient with PyTorch or TensorFlow; publication record is a plus.

Responsibilities

• Design and manage search recommendation services and models for the content team.
• Apply ML-based personalization to improve content matching and distribution.
• Lead core recommendation modules with data-driven strategies.

Skills

PyTorch

TensorFlow

Cross-team collaboration

Education

MSc/PhD in ML, CS, or Applied Math

Job description

• Design and manage search recommendation services and models to support the content team.
• Apply ML-based personalization to enhance content matching and distribution.
• Lead core recommendation modules with data-driven strategies.

Requirements:

• MSc/PhD in ML, CS, or Applied Math with 5+ years industry experience.
• Strong hands-on with PyTorch or TensorFlow.
• Excellent cross-team collaboration and publication record is a plus.

Why Binance:

• Shape the future of finance.
• Collaborate with world‑class talent in a flat, user‑centric organization.
• Remote‑first work‑from‑home arrangement.

Binance

Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. Trusted by over 300 million people in 100+ countries, the company fosters a user‑centric, flat‑structure culture with a focus on innovation and collaboration.