Data Scientist – Machine Learning and Algorithms (Risk Management)

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 which 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 off our rich data and cutting-edge machine learning technology.

Responsibilities:

• Universe risk management: data analysis and modeling to KYC, payment, credit, exchange scenes
• User behavior and pattern analysis: leverage of our PB-scale data warehouse to perform in-depth analysis to build personalized services and provide abnormal user automated recognition
• Digital data asset: obtain the blockchain based data to perform chain-based data analysis, prediction and recommendations
• 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

Requirements:

• 2+ year experience developing machine learning models at scale from inception to business impact
• Deep understanding of modern machine learning techniques and mathematical underpinning, such as classifications, recommendation systems, optimization and etc.
• Working with data size from Terabyte to Petabyte scale
• Good experience with Python, Java and/or Scala is preferred (2+ years) with solid project experience
• Excellent communication skills (English Reading/Writing skills are required)
• Master’s Degree with at least 2 years machine learning experience or PhD
• Experience in Deep Learning is a plus
• Experience in productionizing machine learning models is a plus

Conditions
• 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 attire