Data Scientist, Finance
Build financial data models to drive scalable business decisions
As a Data Scientist at Ramp, you will develop full-stack data models that consume, transform, and expose data to stakeholders and production systems. You will collaborate with finance and data engineering teams to turn raw data into actionable insights that influence business decisions. Your work will contribute to a culture of experimental design and scalable decision-making across the organization.
Why This Role?
Direct impact on systems that manage over $200B in annualized business spend
Key Responsibilities
- Develop full-stack data models to consume, transform, and expose data for stakeholders
- Drive experimental design and testing agendas to improve data practices
- Collaborate with finance teams to generate financial insights and influence decisions
- Partner with data engineering to capture, move, store, and transform raw data
- Contribute to data team culture by improving processes, tools, and systems
Requirements
- Minimum of 3 years of industry experience in Data Science, Software Engineering, or Finance
- Strong AI proficiency to quickly adopt new skills and subject matter
- Track record of shipping high-quality products and features at scale
- Familiarity with financial metrics and processes (e.g., contribution profit, financial statements)
- Strong knowledge of SQL, preferably Redshift, Snowflake, or BigQuery
Required Skills
Indonesia Context
- Working Hours Overlap:
- Flexible — work your own hours
View Original Description from Ashby Job Boards
Original description from Ashby Job Boards
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 expense coverage to NYC or SF (if 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 - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf. OTHER NOTICES 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 http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process. Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Salary Context
Similar Data & Analytics roles on LokerDollar pay around $135k/yr (range $7.8k–1000k/yr, n=196 active listings).
Hiring at Ramp
Ramp has 63 other active roles on LokerDollar and has been hiring here since May 26, 2026 — across Data & Analytics, Finance & Accounting, Engineering, Marketing.
- University Grad | Customer Experience Associate
- Software Engineer, Forward Deployed
- Director, Strategic Finance
Openness not stated by employer — check the listing
Frequently asked questions
- Is Data Scientist, Finance at Ramp a remote job?
- This role is based in Remote. See the listing for remote/onsite details.
- What is the salary for Data Scientist, Finance at Ramp?
- The listed pay range for this role is $137.1k–297.3k/yr.
- What type of employment is Data Scientist, Finance at Ramp?
- This is a full time position.
- How do I apply?
- Click the "Apply" button on this page to go to the official application at Ramp.
Explore related
Market data & reports
Salary & skill-demand research built from our own listings data.
- Indonesia IT Jobs vs Global Remote (2026)Primary analysis of 2,049 listings: methodology, classification rules, downloadable datasets.
- AI-Skill Demand: Indonesia vs Global Remote (2026)10,000+ postings, taxonomy-first classifier, Wilson CIs, pre-registered before analysis.
- Remote ≠ Remote: The Skills That Open Global Work to Indonesians (2026)12,891 remote listings: the highest-paid coding skills are the most geo-locked for Indonesia-based applicants. CC BY 4.0 aggregate dataset.
- Indonesia Hiring Report: Tech vs Non-TechJob demand by field from aggregate open-job counts — never individual listings.
- Indonesia Salary BenchmarkAggregate salary ranges across roles, with open methodology and dataset.
- Indonesian Remote Work Salary & Demand IndexHow much of the global remote job corpus is open to Indonesia, and what it pays (USD) by role.
- Indonesia Quarterly Labor Market ReportLayoffs, funding, salaries & skills per quarter — open aggregates.
- Remote Market Reports by RoleAuto-generated per role family — skills, seniority, companies, salary.
- Global Remote Salary BenchmarkAnnual salary by role & currency, plus the share of listings open worldwide.
From the blog
- Are You AI-Ready? Remote Jobs and Global PayIs the AI era passing you by? Explore the latest global remote job openings and learn how to benchmark your salary against international standards.
- Remote Jobs in Sept 2026: AI’s Impact & RealAI is shifting the remote work landscape. Which skills are actually in demand this September? Analyzing global trends and job market data.
- 7 Latest Remote Jobs in September 2026Explore 7 new remote job opportunities in September 2026, from AWS Solutions Architect to Product Tester. Find flexible global career options here.