Data Science Jobs in Web3

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Job Position Company Posted Location Salary Tags

CoinTracker

San Francisco, CA, United States

$32k - $64k

Afterpay

United States

$125k - $153k

evolve24

Herndon, VA, United States

$105k - $111k

Anti Capital

New York, NY, United States

$18k - $36k

Cash App

San Francisco, CA, United States

$138k - $169k

Drift Labs

New York, NY, United States

$45k - $90k

Storm2

United States

$72k - $80k

Afterpay

Los Angeles, CA, United States

$72k - $80k

TRM Labs

Remote

$86k - $110k

Immuna

Remote

$60k - $200k

Arda

Remote

$20k - $100k

Impact Theory

Los Angeles, CA, United States

$105k - $111k

Fractal Wealth

New York, NY, United States

$25k - $60k

Status

Zug, Switzerland

$54k - $80k

Oracle

United States

$87k - $2k

Data Analyst

CoinTracker
$32k - $64k estimated

This job is closed

CoinTracker makes cryptocurrency portfolio tracking and tax compliance simple. Our mission is to increase the financial freedom and prosperity of the world.


Some things we’re proud of:

📈 3% of all global cryptocurrency assets are tracked on CoinTracker ($50B daily)

💲 Profitable

🤝 Partnered with Coinbase, TurboTax, OpenSea, and other industry leaders

💼 Venture-backed by Accel, Y Combinator, and other top investors

🗺️ Founders: Jon previously built TextNow (200M downloads), Chandan was previously a product manager at Google


Learn more about our mission, culture, and hiring process: https://cointracker.notion.site/CoinTracker-is-hiring-7308c712493940a3b6e62257d283dad8


Your opportunity:

CoinTracker’s mission is to enable everyone in the world to use crypto with peace of mind. As a data analyst, your goal is to take our wide variety of data (blockchains, transactions, usage, mobile/web, etc.) and make it accessible and impact-driven. You’ll be building visualizations, running queries, and helping product, growth, marketing, partnerships, business, and support teams make important decisions and build the best products for the future of crypto.


1-year outcomes:

  • Comprehensive dashboards of the user lifecycle (signup, engagement, churn) across our web and mobile platforms.
  • Team-specific dashboards launched with KPIs and metrics relevant to the team i.e. Growth, Consumer, Finance, Support, etc.
  • Intake process created with a prioritized backlog of data requests for future tools/dashboards.
  • Completed pricing analysis to develop new pricing model/experiments for CoinTracker

You will:

  • Analyze our ads and marketing data to develop user models and compute LTV and effectiveness of different channels.
  • Work with our engagement/churn/retention data alongside product teams to improve product features, measure usage, and manage user cohorts.
  • Help develop finance/long-term models and understand tax/portfolio plan purchase and retention behaviors.
  • Partner with support to super-charge analytics for support tickets, queues, wait times, and help support be a highly-efficient organization.

Some of the skills we're excited about:

  • SQL Programming knowledge/ability to write queries comfortably
  • Experience with Tableau/Mixpanel/etc. for visualization and dashboards
  • Curious mindset to dig into datasets and find issues/concerns
  • Statistical knowledge to understand p-values, confidence intervals, and impact of experiments
  • XFN Collaboration skills to work with PM, Eng, Design, Finance, Support, etc. to gather requirements and provide solutions

What's it like working at CoinTracker?

We are a fully internationally distributed, tight-knit team. We have minimal process, and the majority of our time is spent working and collaborating asynchronously through tools like Figma, Github, Google Meet, Linear, Notion, Slack, Zendesk. We also stay aligned and bonded through weekly sprints, standups, all hands, and socials. We aim to empower every individual on the team with full transparency, ownership, autonomy, and clear objectives.


If this sounds exciting, we'd love to hear from you! Not sure you’re a perfect fit? Reach out anyway. We’re looking for awesome individuals, not folks who perfectly match a job posting.

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.