| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
MoonPay | Spain | $50k - $80k | |||
Parity Technologies | Berlin, Germany | $32k - $76k | |||
MoonPay | London, United Kingdom | $50k - $80k | |||
Metaplex Studios | United States | $72k - $90k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
OKX | Hong Kong, Hong Kong | $63k - $100k | |||
OKEX | Hong Kong, Hong Kong | $63k - $100k | |||
Fair.xyz | London, United Kingdom | $45k - $75k | |||
Wintermute | London, United Kingdom |
| |||
Braintrust | San Francisco, CA, United States | $30k - $67k | |||
Public | New York, NY, United States | $32k - $76k | |||
Fair.xyz | London, United Kingdom | $45k - $75k | |||
Braintrust | San Francisco, CA, United States | $91k - $156k | |||
Amun 21Shares | New York, NY, United States | $45k - $72k | |||
Amun 21Shares | New York, NY, United States | $45k - $72k | |||
SD Solutions | Remote | $45k - $75k |
The Team ❤️
The data team is here to build, maintain and serve the best in class data platform to the whole of MoonPay, enabling all the teams to be able to take key data driven decisions and gain further insights into our operations. We're well established within MoonPay but there is still more than ample opportunity for you to come in with your own ideas and help shape our future.
Tech Stack 💻
GCP, BigQuery, DBT, Looker
What you’ll do 👀
- Work closely with our Crypto Product teams to improve our data infrastructure, create and track metrics across our key products (for example, on OpenSea, TrustWallet, MetaMask) and share actionable insights with tech and business users.
- Analyse data and statistics for trends and patterns
- Process and clean the data used for analysis and reporting
- Learn new technologies on the job - Kaizen - We are always improving and iterating!
- Communicate complex results to technical and non-technical audiences (across different teams)
- Working in Cross-functional teams
- The opportunity to Mentor junior analysts
- Work in a hypergrowth company leading the way in Web3!
You should apply if ✅
- You have advanced knowledge of SQL (knowledge of window functions)
- Advanced knowledge of data visualisation tools (preferably Looker)
- We have A LOT of data coming from different and novel sources, so we need someone who is comfortable processing, cleansing, and verifying the integrity of data used for analysis!
- You have the versatility and willingness to learn new technologies on the job! We always want to use the latest and best technologies, so expect to learn on the job!
- The ability to clearly communicate complex results to technical and non-technical audiences
- Familiarity with DBT
- Knowledge of python
- Good communication skills in English
Bonus points if:
- You work in in fintech
- Knowledge of cryptocurrency
Research has shown that women are less likely than men to apply for this role if they do not have solid experience in 100% of these areas. Please know that this list is indicative and that we would still love to hear from you even if you feel you only are a 75% match. Skills can be learnt, diversity cannot.
We promote a diverse and inclusive culture at MoonPay.
Logistics 🛠
Unfortunately, we are unable to offer visas of any kind at this time!
Our interview process takes place on Google Hangouts and tends to consist of the following stages:
- Initial screen (30-45 minutes)
- Remote take-home task
- Final interview (2 hours)
Please let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance.
MoonPay focuses on Payments, Cryptocurrency, and Fin Tech. Their company has offices in London. They have a mid-size team that's between 51-200 employees.
You can view their website at https://www.moonpay.com or find them on Twitter and LinkedIn.
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.