Data Jobs

Binance Data Scientist – Risk & Machine Learning

Are you passionate about data and machine learning? Binance is looking for a Data Scientist, Risk to join their Accelerator Program in Brisbane, Australia. You will work with algorithms to manage risks and help improve security using advanced technology.

This is a full-time role where you can apply your skills in machine learning and data analysis to make a big impact in the crypto world.

Job Posted
August 25, 2025
⏳ Last Date
25 September 2025
💼 Job Type
Full-Time
$
$36,000 – $96,000 / Year

📄 Job Overview

Join Binance’s Accelerator Program as a Data Scientist focused on Risk. Use machine learning and algorithms to predict and manage risks in the fast-growing crypto space.

📌 Requirements

  • Strong knowledge of machine learning and algorithms.
  • Experience with risk analysis and data science.
  • Good problem-solving and analytical skills.
  • Ability to work full-time in Brisbane, Australia.
  • Passion for cryptocurrency and blockchain technology.

🚠️ Job Responsibilities

  • Build and improve machine learning models for risk management.
  • Analyze data to detect risks and suspicious activity.
  • Work with teams to create safer crypto products.
  • Report findings and suggest improvements.
  • Stay updated on the latest technology trends in data science.

🏢 About Binance

Binance is a leading global blockchain company known for its innovation in cryptocurrency trading and technology. We offer a dynamic workplace for those excited about blockchain and data science.

📝 How to Apply

Interested? Click the button below to apply. Tell us why you want this role and your experience before 25 September 2025.

Note: This is a real job offer. Never share private keys or passwords. Apply only with your public contact details.

❓ FAQ

Q1: Where is this job located?
The job is based in Brisbane, Australia.

Q2: What is the salary range?
The salary ranges from $36,000 to $96,000 per year.

Q3: What skills do I need?
You need strong skills in machine learning, algorithms, and risk analysis.

Q4: When is the last date to apply?
You must apply before 25 September 2025.

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