Data Scientist, Finance

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 $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.

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 available to all full-time Ramp employees (Global)
Flexible PTO

Centralized home-office equipment ordering

Health and wellness stipend

Budget for intra-office travel

Weekly coffee stipend

United States
100% medical, dental & vision insurance coverage for you, with partial coverage for dependents

One Medical annual membership

401(k), including employer match on contributions made while employed by Ramp

Fertility HRA (up to $10,000 per year)

Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay

Pet insurance

In-office perks: lunch, snacks, drinks, and more

Relocation support to NYC or SF (as needed)

Canada
Group medical, dental, and vision coverage through Sun Life

Life, AD&D, and disability coverage

Fertility drug coverage (up to $4,000 lifetime)

Group Retirement Plan with employer match (RRSP + DPSP)

Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay

Emp