| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Taipei, Taiwan |
| |||
Adim | Los Angeles, CA, United States | $54k - $100k | |||
Adim | Los Angeles, CA, United States | $54k - $100k | |||
MoonPay | London, United Kingdom | $76k - $100k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Pagoda | Remote | $144k - $170k | |||
NEAR | San Francisco, CA, United States | $144k - $170k | |||
OKX | Singapore, Singapore | $105k - $120k | |||
Calyptus | New York, NY, United States | $62k - $64k | |||
Chainlink Labs | Remote |
| |||
Crypto.com | Taipei, Taiwan | $95k - $110k | |||
Shakepay | Montreal, Canada | $98k - $110k | |||
Mirror | New York, NY, United States | $175k - $220k | |||
Cake Group | Singapore, Singapore | $62k - $64k | |||
Blowfish | Remote | $126k - $150k | |||
OKX | Singapore, Singapore | $105k - $180k |
This job is closed
BinanceĀ Accelerator Program - Data Scientist (Risk Management)
Responsibilities:
- Leverage of our PB-scale data warehouse to perform in-depth analysis to build personalized services and provide abnormal user automated recognitionDigital 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 customerās feedback and satisfaction with proven data evidence and analysis
Requirements:
- Project experience with developing machine learning models at scale
- Deep understanding of modern machine learning techniques and mathematical underpinning, such as classifications, recommendation systems, optimization and etc.
- Good experience with processing large size data is preferred
- Good experience with Python, Java and/or Scala is preferred
- Masterās or above is preferredĀ
What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.