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# Data Scientist, Finance

- **Company:** Lumin Health Inc.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **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:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/deeb03e7-0879-4921-94e8-93f6691ffce1

## 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, Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.