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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Flashbots | New York, NY, United States | $54k - $102k | |||
Harmony | Palo Alto, CA, United States |
| |||
Ripple | San Francisco, CA, United States | $175k - $219k | |||
Rapid Pioneers | New York, NY, United States | $45k - $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 | |||
AMUZED | New York, NY, United States |
| |||
Robinhood | Menlo Park, CA, United States | $187k - $220k | |||
Bittrex | Washington, United States |
| |||
Circle | San Francisco, CA, United States | $165k - $220k | |||
Circle | New York, NY, United States | $150k - $200k | |||
Circle | Salt Lake City, UT, United States | $145k - $190k | |||
Circle | Washington, United States | $150k - $200k | |||
Circle | Miami, FL, United States | $150k - $200k | |||
Circle | Los Angeles, CA, United States | $150k - $200k | |||
Circle | Austin, TX, United States | $150k - $200k | |||
Circle | Atlanta, GA, United States | $150k - $200k |
About the role
Data is at the core of understanding the complex landscape of MEV and the Flashbots Network. We’re looking for a talented data scientist to join the team and help us answer questions about the Flashbots Network and broader MEV ecosystem. This role will work closely with product leads to generate insights that are key to product development and creating data visualizations for internal and external audiences.
Responsibilities
- Analyze internal and on-chain data to understand user behaviour and dynamics within the MEV ecosystem
- Measure network performance, help develop core metrics, and create dashboards for both internal and external audiences
- Create and maintain monitoring and data sourcing scripts
Qualifications
- 4+ years of experience as a Data Scientist
- Experience with data querying languages (e.g. SQL), scripting languages (e.g Python, Golang), data visualization, dashboarding
- Basic knowledge of data pipeline tools (e.g. Snowflake/Redshift/BigQuery, AWS lambda/S3, Apache Airflow, Spark/Hadoop etc.).
- Comfortable with async contributing, both collaboratively and self-sufficiently
- Flexible, accountable, and focused on high-impact solutions
- T-Shaped capabilities
Nice-to-haves
- Experience with database i.e. relational database, key-value stores, stream databases, graph databases
- Experience with Go & Kubernetes
- Experience with Ethereum, EVM-based chains as well as Geth or associated Ethereum clients
- Passion or awareness for MEV
- Able to show available open source work