Analytics Engineer / Data Scientist - Dragonfly Portfolio

Dragonfly • New York, NY, USA

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Dragonfly

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Venture Capital & Private Equity

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Job description

Analytics Engineer / Data Scientist - Dragonfly Portfolio

New York City

Portfolio

Hybrid

Full-time

Dragonfly

is a crypto-native Venture Capital and research firm with $2B+ in assets under management and

160+ portfolio companies

. Our Talent team works to support recruiting efforts across our portfolio by connecting strong candidates with the most ambitious teams in crypto.

This is not a listing for an internal role at Dragonfly. We are actively hiring Analytics Engineers & Data Scientists for multiple portfolio companies building open crypto data infrastructure, AI tools, and on-chain intelligence platforms.

What We’re Looking For:

Based in the broader New York City area and for exceptional candidates we are open to remote
You have 2+ years of data engineering, data science, or analytics engineering background
You love to ship products, exercise agency, have a growth mindset, and love crypto
You love hard and ambiguous data problems - we aren’t afraid to ask anyone so you can get the data that you need

Req ID: R81

Own the protocol data platform end-to-end — designing, building, and shipping full-stack data features, while creating a scalable infrastructure that empowers analysts to do the same.
Develop and maintain the industry’s best open and free on-chain dashboards, enabling anyone worldwide to access and understand blockchain activity.
Advance the crypto industry by delivering high-quality, first-principle data and helping stakeholders interpret and apply it.
Build your personal brand as a thought leader by sharing your work, insights, and dashboards with the broader community through writing, speaking, and social channels.
Collaborate closely with top capital allocators in crypto — from global asset managers to leading token funds — incorporating their feedback, strengthening relationships, and driving innovation alongside them.

Ready to apply?

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