About the RoleRamp Economics Lab is the go-to source for understanding how businesses spend on and adopt AI. Built on Ramp's $200B+ business spend dataset, our flagship Ramp AI Index tracks the AI economy through actual business spend data. Our research is regularly cited by the Financial Times, The Wall Street Journal, Bloomberg, The Economist, The New York Times, CNBC, Reuters, Axios, JPMorgan analyst reports, and our favorite independent substacks. You will work with Ara Kharazian, lead economist.
We're hiring an economics-minded data scientist to own and expand this work: own Ramp AI Index, add new metrics tracking token spend and ROI of AI, extend our research internationally, and publish rigorous but accessible analysis for policymakers, researchers, businesses, the press, and the public.
You'll also build a new customer-facing economics function from the ground up: developing Ramp's economic outlook, meeting with customers and prospects, presenting to CFOs and finance teams, and translating our data into practical recommendations for business planning, budgeting, and AI strategy.
This role combines economic judgment, applied data science, public writing, data visualization, and executive communication. You should be able to move from an important question to credible analysis, a clear visual or argument, and advice a business leader can act on.
What You Need- Minimum of 5 years of industry experience as a Data Scientist or Economist
- Strong perspectives on the economics of AI, economic policy, new media, and writing
- Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries
- Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards
- Track record of shipping high-quality research, writing, and thought leadership under short, non-academic timelines
- Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
- Active reader of the news in economics, business, and AI trends
- An advanced user of AI for data science, and an eye for good charts and web design (we vibecode ramp.com/data ourselves and could use some help)
- At some point in the recent past, you have been described as "a breath of fresh air." You will meet with customers and prospects and present data. It's very important you don't come off as dry or overly academic
Nice-to-Haves- Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
- Experience within the payments and financial technology space
Benefits available to all full-time Ramp employees (Global)- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
United States- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
Canada- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
United Kingdom- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
Referral InstructionsIf you are being referred for the role, please contact that person to apply on your behalf.
