| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Fractal Wealth | New York, NY, United States | $25k - $60k | |||
Status | Zug, Switzerland | $54k - $80k | |||
Oracle | United States | $87k - $2k | |||
Cisco | United States | $16k - $25k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Mammoth Media | Santa Monica, CA, United States | $18k - $27k | |||
Utopia Labs | United States | $32k - $64k | |||
Chaos Labs | New York, NY, United States |
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Algo Capital Group | New York, NY, United States | $150k - $200k | |||
Storylines at Sea | Miami, FL, United States | $45k - $60k | |||
Ribbit Capital | San Francisco, CA, United States | $32k - $92k | |||
defi SOLUTIONS | United States | $32k - $64k | |||
CertiK | United States | $24k - $72k | |||
Binance | Canada |
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TRM Labs | United States |
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Afterpay | San Francisco, CA, United States | $32k - $64k |
As a Junior Data Scientist, you will help Tokemak design, develop, and run financial simulations to analyze market data and liquidity positions across the crypto ecosystem.
Experience Required:
- 2+ years experience with Python development
- Experience using Python for data analysis (with pandas or another data analysis framework)
- Previous experience using experimentation methods and advanced statistical modeling to drive product development
- Experience in quantitative analytics / financial research
- Passionate about crypto / decentralized finance (DeFi)
Job Duties:
- Design and develop predictive models and algorithms
- Perform backtesting, scenario analysis, and simulations
- Develop and implement data visualizations/dashboards
- Assist with weekly liquidity deployment calculations
- Periodically support or facilitate trade execution
- Conduct analysis on previous protocol crypto transactions and results
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.