Data Scientist

Stack

Responsibilities

• ▹Full stack development: building models to consume, transform, and expose data to stakeholders and production systems
• ▹Drive a culture of experimental design, testing agenda, and best practices
• ▹Contribute to the data team's culture by influencing processes, tools, and systems that enable scalable decision-making
• ▹Collaborate with product, engineering, data, and design teams to develop product roadmaps and measure success
• ▹Work closely with data engineering teams to capture and transform raw data into actionable insights, then partner with business teams to act on them

Requirements

• ▹Minimum of 4 years of industry experience as a Data Scientist
• ▹Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient queries
• ▹Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and distributing insights via reports and dashboards
• ▹Track record of shipping high quality products and features at scale
• ▹Ability to thrive in a fast-paced, constantly improving startup environment

Nice to have

• ▹Experience with the modern data stack (Fivetran, Snowflake, dbt, Looker, Hightouch or equivalents)
• ▹Strong perspective on the analytics engineering development cycle (data modeling, version control, documentation and testing)
• ▹Experience within the payments and financial technology space
• ▹Familiarity with B2B enterprise sales cycle metrics and processes

Soft skills

What we offer

• ▹Flexible PTO
• ▹Home-office equipment ordering
• ▹Health and wellness stipend
• ▹Travel budget and weekly coffee stipend
• ▹US: full medical/dental/vision coverage, 401(k) with employer match, up to 16 weeks parental leave

About the company

Ramp builds the smart infrastructure for finance teams, automating how over $200B in annualized spend flows in and out of more than 70,000 companies, enabling data-driven decisions across product, risk, and growth.