Data Science

Tempo • San Francisco, CA

17h

About The Position

Tempo is a layer-1 blockchain purpose-built for stablecoins and real-world payments, born from Stripe’s experience in global payments and Paradigm’s expertise in crypto tech.
Tempo’s payment-first design provides a scalable, low-cost predictable backbone that meets the needs of high-volume payment use cases. Our goal is to move money reliably, cheaply, and at scale. Our north star is simplicity for users: fintechs, traditional banks, merchants, platforms, and anyone else looking to move their payments into the 21st century.
We're building Tempo with design partners who are global leaders in AI, e-commerce, and financial services: Anthropic, Coupang, Deutsche Bank, DoorDash, Mercury, Nubank, OpenAI, Revolut, Shopify, Standard Chartered, Visa, and more.
We’re a team of crypto-optimists, building the infrastructure needed to bring real, substantial economic flows onchain. We like to move fast and swing for the fences — join us!
The Role
As Tempo’s Data expert, you’ll transform raw on-chain and ecosystem data into actionable insights that shape our protocol, ecosystem, and growth strategies. You’ll work closely with engineers, researchers, and product to build Tempo’s data foundation from 0 to 1 and better embed quantitative rigor into decision-making. You’ll relate data from stablecoins on blockchains today and existing payment systems worldwide to help us produce meaningful metrics and reports to move payments on-chain.

Requirements

• 6+ years of experience as a Data Scientist or Analytics Engineer (blockchain experience preferred).
• Advanced proficiency in Python, SQL, and data analysis libraries.
• Strong grounding in statistics, modeling, and experimental design.
• Experience analyzing blockchain data (on-chain analytics, validator metrics, DeFi/NFT data, etc.).
• Familiarity with EVM-compatible chains, smart contract data, and on-chain indexing tools.
• Experience with data visualization and storytelling.

Responsibilities

• Collaborate with research and product teams to design north star metrics to track business and protocol health.
• Establish data pipelines (in-house and vendor-assisted), scalable data infrastructure, and self-serve dashboards and systems.
• Translate key metrics and trends into clear guidance for product, partnerships, and GTM.
• Design and evaluate strategic initiatives with cross-functional teams.
• Collaborate with data providers and community to align on measurement standards.
• Shape industry and ecosystem dialogue through translating technical analyses into rich storytelling and thought leadership.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees