Data Science Jobs in Web3

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Job Position Company Posted Location Salary Tags

Public

New York, NY, United States

$32k - $76k

Fair.xyz

London, United Kingdom

$45k - $75k

Braintrust

San Francisco, CA, United States

$91k - $156k

Amun 21Shares

New York, NY, United States

$45k - $72k

Amun 21Shares

New York, NY, United States

$45k - $72k

SD Solutions

Remote

$45k - $75k

Binance

Asia

Mirana

Singapore, Singapore

$280k - $282k

Keystone

remote

Kronos Research

remote

$63k - $80k

Re7 Capital

United Kingdom

$81k - $96k

Parallel Finance

Beijing, China

$40k - $54k

OpenSea

Remote

$45k - $75k

Worldcoin

remote

$45k - $60k

QuickNode

Remote

$105k - $111k

Data Analyst

Public
$32k - $76k estimated

This job is closed

About us:

Public.com is an investing platform that helps people be better investors. Members can invest in any fractional asset, from stocks, ETFs, and crypto, to art, NFTs, and collectibles of any kind - all in one place.

On Public, people’s portfolios are supported by a suite of investing tools, content, and a community of millions of investors, creators, and analysts. This includes live shows about the markets, Town Halls with company executives, and custom company metrics.

Since 2019, Public has raised over $300 million. Investors include Accel, Tiger Global, as well as Sean ‘Diddy’ Combs, Will Smith (Dreamers VC), Maria Sharapova, Tony Hawk, The Chainsmokers’ Mantis VC; NFL star J.J. Watt, NYU Stern professor Scott Galloway, business executive Dick Parsons, and Shari Redstone’s Advancit Capital.

What you’ll do:

As a member of the data analytics team, you will be responsible for driving data-driven decision making throughout the company. You will handle data and reporting requests from Product Owners, Designers, Finance, Brokerage, develop analyses in SQL, build dashboards in Looker, continue the roll out of Public’s analytics infrastructure, and identify unique insights to drive growth and retention.

Who you are:

  • A burning passion for data and analytics
  • Expertise in SQL and BI Tools (Looker a bonus)
  • Experience with modern data pipelines and warehousing platforms (Snowflake, DBT)
  • Strong communication and storytelling skills
  • Passionate about user experience and solving problems

Bonus Points:

  • Experience dealing with financial services or social media products
  • Experience transforming raw data into consumable data models
  • Desire to help make investing accessible to everyone!

Benefits:

  • Be part of a company with a real mission you can be proud of
  • We are growing rapidly, but are still at a size where you will learn A LOT. This role can be a catalyst to grow your skills and experience
  • We offer great health care plans and pay the full premium for you and your family including medical, dental, and vision
  • Generous PTO and sick leave
  • Discounted fitness memberships
  • 401k with 4% company match after 3 months of employment
  • Your choice of gear - from laptop to desk, we got you covered

Public is an equal employment opportunity employer to all employees and applicants for employment and prohibits discrimination and harassment of any type. We celebrate people of all race, color, religion, age, sex, national origin, disability status, genetics, veteran status, sexual orientation, gender identity, or expression.

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.