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Data Scientist, All Levels

Ramp

Recently Verified
Data ScienceFintechMid-Level (3-5 yrs)RemoteFintech Startup

Great for data scientists at any level wanting to work on high-impact spend analytics at a leading corporate fintech.

AI → FinanceTransition-Friendly

Location

New York, NY

Salary Range

$137,120 – $297,330

Posted

Mar 18, 2026

Insider Signals

Beta
Growing AI Team

Ramp is in the growing stage of its AI organization. Great time to join.

📊Active Hiring

Ramp has had 12 hiring events in the last 30 days — they're actively building.

Company AI Context

AI Maturity

growing

Tech Stack

pythonsqllookerdbtsnowflake

Recent News

Ramp surpassed $100B in annualized transaction volume in 2025, accelerating AI-powered spend automation and expanding its finance platform with ML-driven insights.

Tackle high-stakes data problems at Ramp across $100B+ in annualized corporate spend — open to all experience levels with remote option.

## About the Role Ramp is the fastest-growing corporate card and spend management platform. As a Data Scientist, you'll work on high-stakes, data-dense problems across $100B+ in annualized spend — building models that drive product decisions, optimize risk, and power Ramp's finance automation platform. ## Responsibilities - Develop predictive models and analytics for spend optimization and risk management - Design and analyze A/B experiments to measure product impact - Build data pipelines and dashboards for business intelligence - Partner with product and engineering teams to embed ML into Ramp's platform - Drive data-informed decision making across the organization ## Requirements - 2+ years of data science or analytics experience (open to all levels) - Strong SQL and Python proficiency - Experience with BI tools and data visualization - Familiarity with statistical methods and experimental design - Fintech or payments background preferred but not required

Skills & Technologies

PythonSQLA/B TestingStatistical AnalysisBI ToolsData VisualizationFintech

Best Backgrounds

  • data science
  • business analytics
  • financial analytics
  • product analytics

Related Titles to Explore

  • Product Data Scientist
  • Analytics Engineer
  • Business Intelligence Analyst
  • Risk Data Scientist

Career Bridge Playbook

Beta

Career paths into this role

Data Analyst
Analytics Engineer
Business Intelligence Analyst
Fintech Data Scientist

Where this role leads

Senior Data Scientist
Lead Data Scientist
Head of Analytics

Transition Difficulty

low

Key Skill Gaps to Close

  • fintech product domain
  • SQL proficiency
  • experimental design

Skills used in this role

Technical

pythonsqla-b-testingstatistical-analysisdata-visualizationml-modelingbi-tools

Domain

spend-managementcorporate-cardsrisk-managementfintech-analyticsproduct-analytics

Soft Skills

data-storytellingcross-functional-partnership

Interested in this role?

Apply directly on the company's career page.

Apply Now

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