Senior Data Scientist(Computer Vision)

Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money
Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?Data-driven based business is the core in helping us to use the cloud-native platforms to serve tens of millions of crypto-currency users
Engineers and Data Scientists across the company use the data platform to do interesting and impactful analyses for continuous innovations
As a data scientist, you will have the opportunity to leverage rich data (PB-level scalability) and state-of-art machine learning infrastructure to develop data products that are used by our tens of millions of crypto-currency users
You will collaborate with a strong team of engineers, data analysts, business operation and product/marketing managers to define and build solutions, features, algorithms and products based on our rich data and cutting-edge machine learning technology
   We have multiple openings available and many more are coming due to our rapid growth of the business
Sample projects include: – User behavior and pattern analysis: KYC, Anti-Money Laundry, and abnormal user automated recognition to provide our users with safe and more accurate information service- Digital data asset: obtain the blockchain based data to perform chain-based data analysis, prediction and recommendations
- Personalized recommender system: leverage of our PB-scale data warehouse to perform in-depth analysis and recommender system for our end-users- Data driven customer feedback and satisfaction analysis: leverage of machine learning techniques to understand customer’s feedback and satisfaction with proven data evidence and analysis To be successful in this role, you MUST be a quick learner, stellar machine learning skills with rich and solid experience from inception to business impact, strong communication capabilities and work well in cross-functional teams ( with data users from different marketing and consumer team)
   This is a great opportunity to enhance your machine learning /data science skills in markets and familiarize with Blockchain based technology and etc while making a real impact on Blockchain and Crypto-Currency technology globally


    • Responsible for designing and managing AI-based products computer vision ( OCR , facial recognition)
    • In-depth understanding of Computer vision systems with the business domain knowledge to take the impact of AI product to the next level
    • Drive the development of core modules with data-driven strategy to maximize the impact
    • Identify the needs and opportunities, define success metrics with Business and Product management teams


    • MSc or Phd in Machine Learning, Computer Vision, Computer Science or Applied Mathematics with at least 5 years of relevant industry experience
    • Excellent hands-on experience with popular Machine Learning frameworks such as PyTorch or TensorFlow
    • Fluent in English, both written and spoken
    • Experience with application development practices at scale
    • Good experiences in Computer Vision particularly on OCR and text extract with the deep learning-based end-to-end solutions is a plus
    • Good global team collaboration skills and experiences are good add-ons as well
    • Publication record at top conferences and journals is a plus

Working at Binance

• Do something meaningful; Be a part of the future of finance technology and the no
1 company in the industry• Fast moving, challenging and unique business problems• International work environment and flat organisation• Great career development opportunities in a growing company• Possibility for relocation and international transfers mid-career• Competitive salary• Flexible working hours, Casual work attireBy submitting a job application, you confirm that you have read and agree to our

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