Data Science Web3 Jobs in California, United States

145 jobs found

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Job Position Company Posted Location Salary Tags

Hyperbolic Labs

San Francisco, CA, United States

$88k - $101k

Robinhood

Menlo Park, CA, United States

$247k - $290k

Ripple

San Francisco, CA, United States

$92k - $96k

Divine

San Francisco, CA, United States

$87k - $115k

Consensys

Remote

$156k - $187k

visa

United States

$79k - $100k

PIP Labs

San Francisco, CA, United States

$90k - $100k

a16z

San Francisco, CA, United States

$225k - $250k

Dawn - Build Wealth for All

Los Angeles, CA, United States

$28k - $57k

Markets

San Francisco, CA, United States

$88k - $110k

Octav

Montreal, CA, United States

$87k - $100k

Bitwise Asset Management

San Francisco, CA, United States

$110k - $125k

Whatnot

San Francisco, CA, United States

$153k - $225k

Kraken

San Francisco, CA, United States

$76k - $90k

Whatnot

San Francisco, CA, United States

$180k - $275k

Hyperbolic Labs
$88k - $101k estimated
California San Francisco USA

Who We Are

Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.

As we prepare for growth after our Series A, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing.

About the Role

We're seeking our first data analytics hire to establish and own the data foundation for our rapidly growing GPU marketplace. This is a high-impact role where you'll work directly with leadership to define, build, and deliver the critical metrics that drive business decisions across the company. You'll bridge the gap between our highly technical AI infrastructure and business needs, transforming complex data into actionable insights.

As a data-heavy compute marketplace business, we need someone who can understand the nuances of our marketplace, work independently to produce accurate metrics, and communicate insights clearly to stakeholders. You'll have the opportunity to shape our data analytics function from the ground up, with a clear path to growing into a leadership role as the team expands.

Who You Are

  • 4-8 years of experience in data analytics, preferably at a technical startup with a small analytics team where you had significant ownership

  • Strong SQL and Python scripting skills for data manipulation and analysis

  • Expert at data debugging and ensuring data correctness with a proactive approach to data health

  • Experience with dashboard development and business intelligence tools (Hex, Metabase, PostHog, or similar)

  • Exceptional attention to detail with consistent review and improvement of data systems

  • Strong communication and collaboration skills with the ability to articulate complex data insights to leadership

  • Experience working with highly technical teams and understanding technical business models

  • Proactive in seeking clarification when needed and comfortable navigating ambiguity

  • Ability to accept direct feedback and continuously improve

Preferred Qualifications

  • Experience in GPU compute infrastructure or cloud computing space

  • Background in AI infrastructure or related technical domains

  • Data engineering skills or familiarity with data pipeline development

  • Experience at high-growth, early stage, technical companies

Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.