| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Crypto.com | Remote | $14k - $23k | |||
Nansen.ai | Berlin, Germany | $63k - $80k | |||
Consensys | Remote | $72k - $100k | |||
Consensys | Remote |
| |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Consensys | Remote | $40k - $92k | |||
Consensys | London, United Kingdom | $24k - $67k | |||
Binance | Singapore, Singapore |
| |||
Binance | Singapore, Singapore |
| |||
CoinDesk & TradeBlock Opportunities | Stamford, CT, United States | $50k - $77k | |||
CoinList | San Francisco, CA, United States | $32k - $92k | |||
Okcoin | San Francisco, CA, United States | $105k - $111k | |||
Stellar Development Foundation | San Francisco, CA, United States | $43k - $75k | |||
Binance | Singapore, Singapore |
| |||
OpenSea | Remote | $45k - $75k | |||
OpenSea | Remote | $91k - $156k |
About Crypto.com
Crypto.com was founded in 2016 on a simple belief: it's a basic human right for everyone to control their money, data and identity. With over 10+ million users on its platform today, Crypto.com provides a powerful alternative to traditional financial services, turning its vision of "cryptocurrency in every wallet" into reality, one customer at a time. Crypto.com is built on a solid foundation of security, privacy and compliance and is the first cryptocurrency company in the world to have CCSS Level 3, ISO27001:2013 and PCI:DSS 3.2.1, Level 1 compliance. Crypto.com is headquartered in Hong Kong with a 2000+ strong team.
For more information, please visit www.crypto.com.
Responsibilities
- research/implement / debug strategies based on tick-level / alternative data High/Mid/Low frequencies delta1 and volatility
- Monitor live strategy performance/debug issues (i.e. specific to crypto exchanges data)
- Contribute and maintain python crypto derivatives delta1 and options analytics/trading pricing/backtesting/optimisation library and webapp tools (flask,javascript)
- Applies machine learning techniques such as feature selection /transformations/normalisation to explore alpha strategies
- Perform data cleaning and identifying outliers
- Implement/back-test cutting-edge ideas and models derived from research papers
- Previous experience in trading firm/hedge fund/investment bank/exchange (2y+)
- Fresh master/PHD graduates are welcomed
- Solid cryptocurrency trading experience
- Masters/PhD in Physics/Maths/Applied Maths/Statistics from top schools
- Excellent python
- Very good math/probability background
- Technical must-haves:
- Predictive machine learning implementations ( tensorflow / xgboost/ sklearn)
- Backtesting framework (e.g. backtrader)
- Scientific , high performance python (3y+)
- Experience in working with Pandas dataframes of several Gb (2y+)
- Unix scripting, Automation scripts
- Git
- Technical good-to-haves : Flask , Javascript ,HTML, crypto exchanges connectivity /data download , SQL, Xgboost, Tensorflow, Scikit learn, Seaborn
- We offer an attractive compensation package working in a cutting-edge field of Fintech.
- Huge responsibilities from Day 1. Be the owner of your own learning curve. The possibilities are limitless and depend on you
- You get to work in a very dynamic environment and be part of an international team
- You will get to have involvement in developing brand new products from scratch using latest technologies alongside with a passionate and talented team
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.