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Data Scientist (Finance)

Ramp

RemoteFull timeMid levelPosted today
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About the role

  • 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 culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way
  • Collaborate with Finance teams (e.g. GTM Finance, StratFin) to develop financial insights and influence business decisions
  • Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action

Benefits

  • Comprehensive medical, dental, and vision insurance

  • One Medical Membership

  • 401(k) including an employer match

  • Unlimited PTO

  • Monthly wellness stipend

  • Parental leave

  • Relocation support to move to NYC

  • WFH stipend

  • Pet Insurance

  • Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

  • Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries

  • Minimum of 3 years of industry experience in Data Science / Software Engineering / Finance

  • Track record of shipping high quality products and features at scale

  • Strong AI proficiency as a lever to quickly adopt new skills and subject matter

  • Familiarity with financial metrics and processes (e.g. contribution profit, financial statements, monthly close) and / or B2B enterprise sales cycle metrics and processes

  • Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)

  • Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards

  • Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)

  • Strong intuition on business strategy and customer empathy (ROI, growth channels, sales cycles, customer incentives)

  • Experience partnering with finance teams or within the payments and financial technology space

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