Data Scientist (On-site)


CapsFund offers crypto investment solutions for institutions, financial professionals, and individuals across the world. The sustainable financial growth of our investors through all phases of the crypto market is our top priority. In pursuit of this, using cutting-edge data science technologies and strict innovative risk management methods which are designed to hedge the highly volatile crypto market, are embedded across our business.

About the role:

As a data scientist, you will have the opportunity to leverage rich data and state-of-art machine learning infrastructure to develop data driven algorithms and models which are used by our Asset Management team.

You will collaborate with a strong team of engineers, data analysts to define and build algorithms and models based off our rich data and cutting-edge machine learning technology.


  • Data driven risk analysis: leverage of machine learning techniques to understand and calculating market’s realtime reserved risk.
  • Digital data asset: obtain the blockchain based data to perform chain-based data analysis, prediction and recommendations
  • Data Pipelines: designing, developing and maintaining data pipelines from scratch (from the databases to our AI engines.)


  • 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, 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 Crypto On-Chain data is a plus.