Data Science Jobs in Web3

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Job Position Company Posted Location Salary Tags

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

Ava Labs

New York, NY, United States

$46k - $80k

Full Stack Data Scientist

Thirdwave

This job is closed

Full Stack Data Scientist

San Francisco, CA /
Data /
Remote

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As the first blockchain discovery engine, Thirdwave empowers blockchain projects with the analytics and insights to understand their customers and the actions that accelerate their growth. We deliver the key infrastructure and tools to enable projects to control their destiny. We connect people to the projects, games, and communities they love.

Thirdwave is looking for a unicorn to join us as a full stack data scientist. Our ideal candidate is someone who thinks and understands from data source to data insight. When presented with large amounts of data, you know how to structure it, clean it, transform it, analyze it, visualize it, and use it to tell stories. You like games and emerging technologies like Blockchains and are passionate about shaping the industry.

What You'll Achieve

As the first IC and a founding member of the Data Science team, your immediate focus will be on designing and building the foundations.  As we collect more Blockchain data, it’ll need to be stored and processed efficiently.  Once the data is there, dive into it and identify insightful behaviors and trends.  You’ll wear many hats and have a lot of autonomy.  Shape and influence the future of the team, product, and the company.

You Will Also

Design and implement data tables and pipelines
Analyze billions of Blockchain events
Collaborate with executives and stakeholders to develop new analyses and insights
Contribute to technology decisions

About You

    • Familiarity with common BI an analytics tools
    • Knowledge of advanced statistical analysis techniques
    • Fast learner, self-starter, go-getter, and intellectually curious
    • Strong communicator

Minimum Qualifications

    • 3+ years of experience in a full-stack data science environment
    • 5+ years of SQL experience
    • 5+ years of Python experience
    • 5+ years working with data, designing and implementing tables and pipelines and dashboards

Preferred Qualifications

    • An advanced degree or a degree in a relevant discipline
    • Familiarity with NoSQL databases (MongoDB, Graph databases)
    • Experience working with Agile and Kanban frameworks

Location

    • Flexible, Remote



What We Offer

Comprehensive medical, dental, and vision coverage for you and your family

Additional benefits to help care for your family such as flexible parental leave and fertility & adoption assistance

Unlimited PTO, including two recharge weeks (two company-wide weeks off, 13 paid holidays AND a $1000 vacation stipend once a year to spend on travel, etc.

Awesome Perks including a $200 monthly Life>

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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.