Data Scientist (Finance)

• 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