| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Ava Labs | Miami, FL, United States | $39k - $80k | |||
Ava Labs | New York, NY, United States | $39k - $80k | |||
Ava Labs | New York, NY, United States | $39k - $80k | |||
Messari | remote | $91k - $96k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Metallicus | Remote | $91k - $156k | |||
ATTN | Jakarta, Indonesia |
| |||
Pocket Worlds | Remote | $91k - $96k | |||
Binance | London, United Kingdom |
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MoonPay | United Kingdom | $54k - $87k | |||
MoonPay | London, United Kingdom | $63k - $75k | |||
MoonPay | London, United Kingdom | $54k - $87k | |||
Phantom | San Francisco, CA, United States | $54k - $80k | |||
Ledger | Paris, France | $18k - $27k | |||
Shakepay | Montreal, Canada | $91k - $156k | |||
Blockdaemon | San Francisco, CA, United States | $30k - $90k |
This job is closed
- Design real-time pipelines to ingest blockchain analytics data into cloud-native databases
- Make ingested blockchain data queryable for product analytics teams using a data visualization dashboard
- Create tools to make data accessible via API for the Avalanche Explorer and Wallet
- Partner with product teams and Data Scientist to identify new metrics to capture
WHAT YOU WILL BRING
- Bachelors in Computer Science or related discipline
- 5+ years of hands on data engineering experience
- 5+ years of building cloud-native, high-throughput data processing systems
- REST APIs
- Data streaming (Kafka or AWS SQS preferred)
- SQL database (PostgreSQL preferred)
- NoSQL (graphDB or dynamoDB preferred)
- Experience defining data contracts and documenting specifications
- Familiarity with distributed systems (Golang or AWS Snowflake/Aurora)
#LI-BA1 #LI-Remote
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.