Data Science Jobs in Web3

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Job Position Company Posted Location Salary Tags

Drift Protocol

Remote

$45k - $100k

Thirdwave

San Francisco, CA, United States

0x Labs

San Francisco, CA, United States

$54k - $75k

CoinFlip

Chicago, IL, United States

Uniswap Labs

New York, NY, United States

Optimism

Los Angeles, CA, United States

Consensys

Remote

$81k - $87k

Braintrust

San Francisco, CA, United States

NEAR

San Francisco, CA, United States

$72k - $75k

NEAR

San Francisco, CA, United States

$54k - $90k

Zash

Remote

$50k - $70k

Consensys

Remote

$81k - $87k

Binance

Asia

Chainlink Labs

New York, NY, United States

Chainlink Labs

Remote

Drift Protocol
$45k - $100k estimated
Sydney, Australia; New York, NY, USA; San Francisco, CA, USA; Remote
Apply

Drift - Quantitative Researcher About Drift Labs Drift is a leading derivatives DEX building perpetual swaps on Solana. Our mission is to bring state-of-the-art trader-centric experience from centralized exchanges on-chain. We're a team of experienced traders and builders from DeFi and traditional finance working together to make this a reality. Within five months of launching, we have:

Hit $10B in cumulative volume traded; Achieved over $50M in trader open interest with $13M in collateral vault balance; Launched 21 trading markets.

The Opportunity Drift Labs is looking for a Quant Researcher to be a core member of our research team to build, scale, maintain, and spearhead the expansion of our decentralized derivatives protocol. You’ll help determine the strategies for optimizing the ‘Liquidity Trifecta’: research, propose, and design protocol enhancements as well as run simulations to track and measure risks across market scenarios. Your Role

Design sustainable liquidity solutions, protocol incentives, and formulaic parameter updates Run simulations to track and measure risks across market scenarios Ensure code and data quality to showcase reproducible work Proactively engage giga brain community members

Your Experience

Proficiency with Rust and/or Python, including developing production quality software Deep understanding of AMMs while proactive engaging in new developments Track record of going from theoretical concepts to practical design, building, scaling and maintenance. Strong communication & writing skills Passion for DeFi, market microstructure, and cryptocurrencies 3+ years as a quant researcher, data scientist or relevant discipline Advanced Degree in Computer Science, Mathematics, Statistics or relevant discipline

Nice to Have

Experience with any blockchain at the protocol level Understanding of perpetual futures, options, margin trading and other derivatives products Familiarity with the Solana blockchain and building applications on Solana Experience in data visualization frameworks

Drift's Development Stack

Frontend: Typescript + React Smart Contracts: Rust (using Anchor framework) Backend: MySQL Infrastructure: AWS

Perks

Remote first - work from anywhere International team meets Stipend for laptop

Drift is an equal opportunity employer and we value diversity at our company. All aspects of employment are based on merit, performance, and business needs. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. To apply, go to https://link.drift.trade/apply

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.