Data Scientist, Finance

The Data Scientist, Finance role at Ramp Financial focuses on building models and end-to-end data systems that turn raw information into finance-focused insights. The position partners with Finance and data engineering teams to deliver data products that can inform and influence business decisions.

Responsibilities

• Develop full stack solutions, including building models that consume, transform, and expose data to stakeholders and production systems
• Advance a culture of experimental design by driving a testing agenda and sharing best practices
• Contribute to the Data team’s scalability by influencing processes, tools, and systems that support better decision-making
• Collaborate with Finance teams such as GTM Finance and StratFin to develop financial insights and influence business decisions
• Partner with data engineering teams to capture, move, store, and transform raw data into actionable insights, and work with business teams to apply those insights

Requirements

• Minimum 3 years of industry experience in Data Science, Software Engineering, or Finance
• Strong AI proficiency to adopt new skills and subject matter quickly
• Proven record of shipping high quality products and features at scale
• Ability to work effectively in a fast-paced, continuously improving start-up environment using 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 the ability to write efficient SQL queries

Technologies

• AI
• SQL
• Redshift
• Snowflake
• BigQuery
• Fivetran
• dbt
• Looker
• Hightouch
• Omni
• Sigma
• Hex

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 distributing data insights through reports and dashboards
• Strong intuition for business strategy and customer empathy, including ROI, growth channels, sales cycles, and customer incentives
• Strong perspective on analytics engineering development cycle, including data modeling, version control, documentation and testing, and best practices for codebase development
• Experience partnering with finance teams or within the payments and financial technology space

Compensation

• Target base salary: USD 137,120 - 297,330 for SF/NY
• Offers equity
• Final compensation depends on location and the level at which the candidate is hired

Location and Employment Details

• Location: New York, NY (hybrid). HQ: New York, NY; also includes San Francisco, CA
• Department: Data
• Employment type: Full time
• Location type: Hybrid

Benefits

Benefits listed below are available to eligible full-time Ramp employees.

• Flexible PTO
• Centralized home-office equipment ordering
• Health and wellness stipend
• Budget for intra-office travel
• Weekly coffee stipend

United States Benefits

• 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 Benefits

• 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 Benefits

• 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

Additional Notes

• If you are being referred for the role, contact the person who referred you to apply on your behalf.
• San Francisco Fair Chance Ordinance: Ramp will consider for employment qualified applicants with arrest and conviction records.
• Recruiting scams notice: Ramp will only contact candidates through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.