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TL;DR
Data Scientist (AI/Fintech): Building rigorous economic research and customer-facing analysis from Ramp’s business spend data, with an accent on AI economics, applied data science, data visualization, and executive communication. Focus on expanding the Ramp AI Index, tracking AI token spend and ROI, developing economic outlooks, and translating complex datasets into practical recommendations for CFOs and finance teams.
Location: Hybrid in New York, NY or San Francisco, CA; relocation expense coverage to NYC or SF may be available.
Salary: $140,000–$190,000 target base salary annually, plus equity. Final compensation depends on location and level.
Company
Ramp builds financial infrastructure that automates payment authorization, risk flagging, spend categorization, and bookkeeping for more than 70,000 companies.
What you will do
- Own and expand the Ramp AI Index using Ramp’s business spend dataset.
- Develop metrics tracking AI token spending and return on investment.
- Extend economic research internationally and publish rigorous, accessible analysis.
- Build a customer-facing economics function, including Ramp’s economic outlook.
- Meet with customers and prospects, present findings to CFOs and finance teams, and provide actionable recommendations for planning, budgeting, and AI strategy.
- Translate complex data into credible analysis, clear visualizations, and practical business advice.
Requirements
- At least 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 SQL skills, preferably with Redshift, Snowflake, or BigQuery, including efficient query writing.
- Experience with BI tools such as Looker, Omni, Sigma, or Hex and distributing insights through reports and dashboards.
- Track record of delivering high-quality research, writing, and thought leadership on short, non-academic timelines.
- Ability to present data clearly to customers and prospects and communicate without being overly academic.
Nice to have
- Experience with the modern data stack, including Fivetran, Snowflake, dbt, Looker, or Hightouch.
- Experience in payments or financial technology.
- Advanced use of AI for data science and strong visual design or charting skills.
- Active interest in economics, business, and AI news and trends.
Culture & Benefits
- Fast-paced startup environment focused on high ownership, urgency, and iterative technical solutions.
- Flexible PTO and centralized home-office equipment ordering.
- Health and wellness stipend, weekly coffee stipend, and budget for intra-office travel.
- Hybrid in-office work in NYC or SF with lunch, snacks, drinks, and other office perks.
- Medical, dental, and vision coverage, plus retirement plans with employer matching and parental leave.
- Additional benefits include fertility support, pet insurance, life and disability coverage, and employee assistance programs.
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