Employer listing
Data Scientist, Finance
Ramp
New York, Ny · hybrid · full time
$137,120 - $297,330
About Ramp
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
What You'll Do
- 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
What You Need
- Minimum of 3 years of industry experience in Data Science / Software Engineering / Finance
- Strong AI proficiency as a lever to quickly adopt new skills and subject matter
- Track record of shipping high quality products and features at scale
- Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
- Familiarity with financial metrics and processes (e.g. contribution profit, financial statements, monthly close) and / or B2B enterprise sales cycle metrics and processes
- Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries
Nice-to-Haves
- 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 intuition on business strategy and customer empathy (ROI, growth channels, sales cycles, customer incentives)
- Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
- Experience partnering with finance teams or within the payments and financial technology space
Benefits
100% medical, dental, and vision insurance coverage (partial for dependents), 401(k) with employer match, up to 16 weeks paid parental leave, flexible PTO, fertility HRA up to $10,000/yr, home-office equipment and wellness stipends, and relocation expense coverage to NYC or SF.