Data Science, Blockchain

Tempo

Tempo

Data Science

United States · San Francisco, CA, USA · New York, NY, USA · Remote

Posted 6+ months ago

Location

New York, San Francisco

Employment Type

Full time

Location Type

On-site

Department

Research

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. Our team primarily works in-person out of our San Francisco and NYC offices. We like to move fast and swing for the fences — join us!

The Role

As Tempo’s first data hire, 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.

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.

Qualifications

  • 5+ years of experience as a Data Scientist or Research Analyst (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.

Attributes

  • Razor-sharp thinker with with strong data-based storytelling skills

  • Intense curiosity about blockchain systems and user behavior

  • Ability to translate data into clear, evidence-based insights

  • Growth mindset and willingness to dive into new domains

  • Self-starter comfortable operating in a fast-moving, startup environment