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

Logos

New York, NY, United States

$36k - $90k

Presto

Seoul, South Korea

$75k - $84k

Coinbase

Remote

$73k - $100k

Status

Remote

$36k - $90k

Pagoda

San Francisco, CA, United States

$148k - $175k

Snowfork huB

Remote

$105k - $180k

FalconX

Bangalore, India

$73k - $115k

Strike

Remote

$165k - $180k

The Page Group

Portland, OR, United States

$140k - $210k

Chainalysis

Washington, United States

$90k - $99k

Fireblocks

Tel Aviv, Israel

$76k - $54k

Nethermind

London, United Kingdom

$81k - $84k

Binance

Singapore, Singapore

Paxos

Remote

$122k - $150k

Binance

Asia

Software Engineer Data Science

Logos
$36k - $90k estimated

This job is closed

About Waku

We are building Waku as a public good infrastructure. Waku is uncompromising Web3 communication at scale. It is a decentralized, censorship-resistant, privacy-preserving communication network that enables anyone to send and receive messages without worrying about surveillance or deplatforming.

We are enabling Ethereum builders to create new projects with a fully decentralized architecture, think dApp to Wallet notifications, NFT marketplaces, censorship-resistant chat, layer-2 and more.

Waku enables a variety of complex use cases and applications. To facilitate the adoption of Waku, you will design and implement application protocols to provide to dapp developers as off-the-shelf SDKs.

Waku.org

Key responsibilities:

  • Design and implement network simulation tools and solutions to validate the functionality and performance of distributed systems.
  • Run, analyze, and report on small-scale simulations to test the behavior of a specific protocol change or software implementation, or to simulate a type of attack on the Waku clients.
  • Own, maintain and improve the waku-simulator framework to enable running local simulations of the Waku network.
  • Work closely with Waku engineers and researchers to help design and analyze simulations needed to validate assumptions.
  • Assist engineers by conducting ad-hoc regression testing, reproducing bugs, and testing bug fixes.
  • Be the point of contact within the Waku team for the the Vac/DST (Distributed System Test) Team who is in charge of large scale simulations and QA activities.
  • Pre-empt and plan small scale simulations to study the behaviour of Waku clients, identify potential bottlenecks and performance optimization, then handover to DST for large scale simulation to confirm findings.
  • Foresee, and help plan and execute any other testing activities that helps ensure the production readiness of Waku, including secure scaling.
  • Help provide visibility on testing and simulation output, to ensure that the wider Waku ecosystem is informed of the expected performance of the Waku protocol and software.

You ideally will have:

  • A passion for blockchain technology, privacy-preserving technology and decentralization.
  • Solid experience with scripting languages (Python, Shell) and a systems language like Rust, C++, Nim, Go.
  • Strong foundation in networks and system programming.
  • Working knowledge of Docker and POSIX-like systems.
  • Algorithm design skills.
  • Have a strong alignment to our principles:https://status.im/about/#our-principles

Hiring process:

  • Call with Talent
  • Interview with Waku Research team member or lead
  • Take home task (paid)
  • Interview with another Waku Research team member or Lead to present home task and discuss further
  • Interview with Waku Lead

Compensation:

We are happy to pay in any mix of fiat/crypto.

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.