Data Scientist

About the Company

Ramp is building the smart infrastructure for finance teams, automating how over $200B in annualized spend flows in and out of 70,000+ companies. We empower ambitious companies to manage and move billions through automated payments, risk flagging, and spend categorization.

Responsibilities

• Build models to consume, transform, and expose data to stakeholders and production systems
• Drive a culture of experimental design, testing agenda, and best practices
• Influence processes, tools, and systems to enable scalable decision-making
• Collaborate with product, engineering, data, and design teams to develop roadmaps and measure success
• Partner with data engineering to transform raw data into actionable insights

Requirements

• Minimum of 4 years of industry experience as a Data Scientist
• Strong knowledge of SQL (Redshift, Snowflake, or BigQuery)
• Experience with BI tools such as Looker, Omni, Sigma, or Hex
• Track record of shipping high-quality products and features at scale
• Ability to thrive in a fast-paced, iterative startup environment

Preferred Qualifications

• Experience with the modern data stack (Fivetran, dbt, Hightouch)
• Strong perspective on analytics engineering development cycles
• Experience within the payments or fintech space
• Familiarity with B2B enterprise sales cycle metrics