Data Science Jobs in Web3
1,279 jobs found
Job Position | Company | Posted | Location | Salary | Tags |
---|---|---|---|---|---|
P2P. org | Remote | $105k - $112k | |||
Chainlink Labs | London, United Kingdom | $87k - $120k | |||
Fabric of Truth, Inc | Belgium | $84k - $164k | |||
Zinnia | Remote | $88k - $97k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Chainalysis | Canada | $76k - $87k | |||
Binance | Taipei, Taiwan |
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Zinnia | Remote | $80k - $100k | |||
DV Trading | Chicago, IL, United States | $100k - $150k | |||
Integra | Remote | $21k - $64k | |||
Integra | Remote | $79k - $84k | |||
Magic Eden | Shanghai, China | $112k - $150k | |||
Alchemy | Remote | $91k - $156k | |||
Anti Capital | New York, NY, United States | $100k - $200k | |||
Fabric of Truth, Inc | Boston, MA, United States | $84k - $164k | |||
Fabric of Truth, Inc | Belgium | $84k - $164k |
We at P2P.org are the largest staking and restaking operator, with a TVL of over $8B 🔝
We are constantly focused on launching new yield products: for example, in Polkadot (adding +15-20% to NRR) and Ethereum, where we offer significantly higher NRR (+40%) than any other staking operator đź’Ş
We also keep an eye on exciting projects and launch new networks such as TON, Avail, Monad, and Babylon. We strongly believe in Bitcoin and the DeFi ecosystem around it, and we have a dedicated team focused on finding the best yield solutions based on Bitcoin.
We work with partners like BitGo, Crypto.com, Ledger and ByBit.
We are actively expanding our product line, exploring RWA, data, yield, and service products for exchanges, custodians, and banks
P2P.org unites talented individuals globally ❤️
Despite our distributed team, we share a passion for decentralized finance - a fairer system for all. We code, learn, create, and connect to shape finance's future đź’°
P2P.org boasts a strong reputation and network. We prioritize customer satisfaction and, as tech enthusiasts, develop innovative solutions that bolster our brand.
Responsibilities:Â
- Perform technical and business tasks from analysts related to our core tools
- Participate in code reviews of analysts and identifying suboptimal processes
- Monitor load and alerts from our services
- Interact with DevOps team on our services and support tasks
- Maintain security and compliance standardsÂ
Requirements:Â
- Strong knowledge: Python, SQL- any syntax, preferably BQ, Clickhouse
- Airflow is mandatory
- Experience with Kubernetes will be plus
- General understanding and experience with GCP - Cloud SQL, VM, Storage
- Friendliness and willingness to help colleagues
- English level: B2+
At P2P.org we have a team of experts with their own unique approach and ownership culture. Together we gain experience and make dreams come true! 🌟
Competitive salary level in $ (we can also pay in Crypto)
Well-being program
Mental Health care program
Compensation for education, including Foreign Language & professional growth courses
Equipment & co-working reimbursement program
Overseas conferences, community immersion
Positive and friendly communication culture
P2P.org is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, veteran status, or disability.
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.