| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Ledger | Paris, France | $27k - $70k | |||
Crypto.com | remote | $30k - $80k | |||
Crypto.com | Hong Kong, Hong Kong | $45k - $90k | |||
Gemini | United States | $72k - $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 | |||
Gemini | United States | $91k - $156k | |||
Archimed | United States | $70k - $150k | |||
Parcl | New York, NY, United States | $72k - $100k | |||
Virtually Human Studio | United States | $105k - $111k | |||
Virtually Human Studio | United States | $63k - $75k | |||
Virtually Human Studio | APAC | $63k - $75k | |||
Flippa | Melbourne, Australia | $91k - $156k | |||
Tron | San Francisco, CA, United States | $45k - $60k | |||
Finoa GmbH | Berlin, Germany | $45k - $60k | |||
Nuri | Berlin, Germany | $40k - $62k | |||
Kronos Research | Remote | $28k - $72k |
This job is closed
Founded in 2014, Ledger is a leader in security and infrastructure solutions for cryptocurrencies and blockchain applications. Headquartered in Paris, we have a factory in Vierzon and offices in Montpellier, Grenoble, London, Portland, New York, and Singapore. Today, we're a team of 500+ professionals, developing the products and services to safeguard cryptocurrency assets for individuals and companies alike – including our hardware wallets already sold to more than 4 million customers in 165 countries.
Within the Data Team, working closely with the Consumer sales team, you would be in charge of extracting meaningful insights and recommendations for our sales operations across our various channels leveraging data and technology.
Ledger guarantees equal opportunity for all during the recruitment process, without any distinction of gender, ethnicity, religion, sexual orientation, social status, disability or age.
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.