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# Data Scientist, Finance

- **Company:** Ramp Financial
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $137,120.0 - $297,330.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, BigQuery, Information Engineering, Data Warehousing, Standard Sql, Software Engineering, SQL Databases, Snowflake, Looker Analytics, Software Version Control, Amazon Redshift
- **Published:** August 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0c1a820ab3563948

## About the Role

* 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

## Description

* 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, * Centralized home-office equipment ordering
 * Health and wellness stipend
 * Budget for intra-office travel
 * Weekly coffee stipend


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