Data Science Jobs in Web3

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Job Position Company Posted Location Salary Tags

The Tie

New York, NY, United States

$72k - $90k

OKX

Singapore, Singapore

$62k - $64k

Cake Pte Ltd

Singapore, Singapore

$45k - $72k

Coinbase

Remote

$140k - $206k

SELF ID

New York, NY, United States

$89k - $147k

Zeal Group

Amsterdam, Netherlands

$105k - $115k

Ramp Network

Warsaw, Poland

$73k - $110k

Nexo

Sofia, Bulgaria

$72k - $76k

Coinbase

Miami, FL, United States

$93k - $110k

Binance

Dubai, United Arab Emirates

Binance

Toronto, Canada

Luno

Johannesburg, South Africa

$54k - $95k

Binance

Toronto, Canada

Binance

Dubai, United Arab Emirates

Binance

Vancouver, Canada

Data Scientist Crypto

The Tie
$72k - $90k estimated
New York New York United States
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The Tie is the leading information services provider for digital assets. We help businesses in the cryptocurrency industry act on market-moving information faster through our leading institutional data terminal - Tie Terminal - and our proprietary social sentiment, blockchain data, and news feeds. Our clients include leading hedge funds, trading venues, market makers, tokens issuers, and other digital asset market participants.


The Position

The Tie is seeking a Data Scientist with a strong foundation in Blockchain Data Engineering to identify and explore patterns in our proprietary datasets, source and diligence external datasets, and develop tools to help leading token issuers make more impactful data-driven decisions. The Tie is located in New York City. Applicants who can work in person are strongly preferred, but remote candidates will also be considered.


What You Will Work On

  • Explore, visualize, and validate our proprietary cryptocurrency data sets, with a particular focus on those derived from on-chain data
  • Develop cutting edge analytics and modeling methods to extract signal from raw on-chain data and translate it into actionable business insights
  • Build data analytics and access infrastructure such as ETL pipelines and APIs
  • Use our data and analytics tools to help some of the largest token-issuers optimize their decision-making
  • Collaborate with our developers to source, research, test, and analyze new data sets to include in our suite of products
  • Interface with our research analysts to write and contribute to both client-focused analytics and public-facing research report
  • You have a strong interest in data science, finance, and cryptocurrency. Prior professional experience in crypto and working with on-chain data is a huge plus
  • You thrive in a fast-paced start-up environment where there are always new projects and challenges. While day-to-day responsibilities will revolve around data science, you will have the opportunity to learn different functional areas of the business working side-by-side with the founders and business partners, and interacting with customers
  • You can use R or Python to clean and analyze data, build models, and present results with customized data visualizations
  • You are proficient in data engineering workflows: able to construct complex data analysis and ETL tasks with tools such as SQL and DBT; able to utilize orchestration tools such as Serverless
  • You write high quality code: it’s readable, efficient, and reusable
  • You are creative, driven, and a self-starter, and will be able to work in both a team environment and independently towards solutions
  • You have a consultative, client-driven work >
  • You have the versatility and curiosity required to rapidly learn new technologies
  • Employee stock option plan
  • Health, dental, vision, and disability insurance
  • Flexible paid time off
  • Flexible working hours
  • A fast-paced and exciting work environment
  • Strong teamwork-driven culture

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.