Data Science Jobs in Web3

1,490 jobs found

web3.career is now part of the Bondex Logo Bondex Ecosystem

Receive emails of Data Science Jobs in Web3
Job Position Company Posted Location Salary Tags

Nethermind

London, United Kingdom

$36k - $82k

Phantom

Remote

$84k - $90k

Phantom

Remote

$180k - $230k

Flashbots

New York, NY, United States

$54k - $102k

Robinhood

Menlo Park, CA, United States

$187k - $220k

Blowfish

remote

$72k - $100k

OpenSea

Remote

$175k - $225k

Robinhood

Menlo Park, CA, United States

$187k - $220k

Gemini

New York, NY, United States

$136k - $190k

NFT Now

Remote

$32k - $64k

Zilliqa

London, United Kingdom

$32k - $64k

Phantom

San Francisco, CA, United States

$84k - $90k

Immuna

Remote

$60k - $180k

Phantom

San Francisco, CA, United States

$180k - $230k

Consensys

Remote

$40k - $62k

Blockchain Data Engineer

Nethermind
$36k - $82k estimated

This job is closed

About

The start-up is a non-custodial, institutional grade, staking as a service provider. The business operates validators across a wide range of Proof-of-Stake protocols and allows institutional clients to delegate their assets using their preferred custodians in order to collect staking rewards. It charges a commission on the staking rewards for operating the validators and providing analytics and reporting.

The business' differentiation is based on:

  • Institutional grade security and compliance (e.g. permissioned validators)
  • Superior transparency and analytics, including dashboard and reporting
  • Processes designed with institutional workflow in mind

As aBlockchain Data Engineer,you will be responsible for extracting on-chain data from various PoS networks. You will be the reference within the company to provide reliable data necessary to perform multiple analyzes and to produce reporting and invoicing.

Responsibilities:

  • Extract, Transform and load data from various blockchains
  • Assist with data analysis queries
  • Design database schema that is performant, scalable, and maintainable
  • Interact with the product team to provide data and build the applications they are requesting
  • Interact with field experts and answer internal/external questions related to data extraction on each protocol
  • Build cloud infrastructure to support data engineering efforts.

You Have:

  • Experience/strong interest in blockchain
  • Comfort with one or more: Python/JavaScript/Golang
  • Strong understanding of distributed systems, Restful APIs and hands-on experience with JSON-RPC endpoints
  • Experience with writing infrastructure as code for cloud deployments and microservices (such as AWS Lambda) for task automation.
  • Proven success in communicating with users, other technical teams, and senior management to collect requirements, and describe data modeling decisions and data engineering strategies
  • Comfort with writing & optimizing SQL queries
  • Experience with Airflow or other similar tool

Nice to have:

  • Experience working data-pipelines
  • Experience building reliable infrastructure on the Cloud (AWS, preferred, GCP, Azure) or willing to do so.
  • Experience in fault-tolerant infrastructure & real-time system monitoring
  • A genuine interest in the functioning of the networks you are working with
  • General knowledge of how PoS consensus mechanisms work

Perks and benefits:

  • Fully remote
  • Opportunity to build systems with no historical technical debt and operate in a company with a flat hierarchy
  • Flexible working hours
  • Plus equity

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.