Data Science Jobs in Web3

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Job Position Company Posted Location Salary Tags

Public

New York, NY, United States

$175k - $250k

Foundry

New York, NY, United States

$76k - $183k

Chainalysis

New York, NY, United States

$85k - $110k

Chainalysis

Toronto, Canada

$90k - $115k

Uniswap Labs

New York, NY, United States

$135k - $165k

Fireblocks

New York, NY, United States

$109k - $61k

Multisig Capital

Lisbon, Portugal

$85k - $155k

Big Time Studios

Remote

$105k - $111k

Horizon Blockchain Games

Toronto, Canada

$90k - $120k

OpenSea

Remote

$135k - $230k

MicroStrategy

United States

$72k - $90k

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

Director of Data and AI

Public
$175k - $250k

This job is closed

About us:

Public is an investing platform that allows people to invest in stocks, ETFs, treasuries, crypto, art, collectibles, and more – all in one place.Public’s platform helps people be better investors with access to custom company metrics, live shows about the markets, and real-time analysis. Members control how they invest with a suite of powerful tools, and get insights from
 a community of millions of investors, creators, and analysts.

Since 2019, Public has raised over $300 million. Investors include Accel, Tiger Global, Will Smith's Dreamers VC, The Chainsmokers' Mantis VC, and Shari Redstone's Advancit Capital, as well as renowned figures in business and culture, like Sean ‘Diddy’ Combs, Maria Sharapova, Tony Hawk, and NYU Stern professor Scott Galloway.

About the role:

As Director of Data and AI, you will be responsible for managing a team of Data Analytics Engineers, and for successfully driving all data-related initiatives at Public. An integral part of your role will be to build systems that process data efficiently, and then model that data to enable analytics.

Serving as a critical leader with a cross-functional domain, you’ll collaborate closely with our Engineering, Product, Operations, Marketing, and Finance teams to help execute a variety of complex projects in alignment with our business goals and product roadmap. You’ll operate in a dual capacity as both a strategic thought partner to our leadership team, and a top-notch individual contributor that can prioritize and execute high-quality work with speed, grit, and finesse.

You will also be responsible for overseeing and managing all of our data infrastructure, processes, and tools.

This role is (preferably) based in New York City.

What you’ll do:

  • Lead a team of high performing Data Analytics Engineers, ensuring proper execution of functions; foster a positive team culture and set data management standards and best practices
  • Develop an in-depth understanding of our business goals, priorities, and success metrics in order to help set business strategy, build data solutions for complex problems, and inform decision-making
  • Work within large datasets to conduct analyses – that includes: data science, exploratory data analysis, and model development – and then clearly communicate results / insights to leadership
  • Build and manage all advanced reporting, dashboards, data models, and tools to support cross-functional teams and initiatives, and enable teams to self-service where possible
  • Extract, manipulate, cleanse, and synthesize data from a variety of sources through ETL technologies

You’ve got:

  • 8+ years of experience in algorithmic engineering, data science, or machine learning, and 5+ years in people management and scaling teams; strong technical domain knowledge is required in order to coach and grow the team (this includes mastery of at least one programming language and SQL)
  • Passion for all things artificial intelligence and machine learning, and some experience working with Generative AI (GenAI)
  • Ability to collect required data from internal and external systems, design data storage structures, and build automated data pipelines that are reliable and scalable in a fast-growing data ecosystem
  • A strong understanding of data modeling principles and modern data platforms to build data model architecture, data ETL processes, reporting, and analytics solutions
  • The ability to push the boundaries of analytical insights with modern machine learning and data science stacks (including AWS, Python, Pyspark) and expertise with Fivetran, Snowflake, DBT, and Looker
  • Exceptional communication skills, high EQ, and the ability to manage multiple projects across stakeholders in a fast-paced environment
  • Preferred: Experience with large-scale consumer products at start-ups or within fast growing finance or technology companies
  • Bonus: An advanced degree in Statistics, Econometrics, Mathematics, or a related quantitative field

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.

The pay range for this position in NYC is $175,000 - $250,000/year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Base pay information is based on market location.

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.