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Data Scientist, Finance

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Overview

Schedule
Full-time
Career level
Senior-level
Remote
On-site
Benefits
Health Insurance
Dental Insurance
Vision Insurance

Job Description

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 email addresses and will never ask for payment or sensitive personal information during the hiring process.

Ramp Applicant Privacy Notice

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.

pay-wall

FAQs About Data Scientist, Finance Jobs at Ramp

What is the work location for this position at Ramp?
This job at Ramp is located in New York City, New York, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Ramp?
Employer has not shared pay details for this role.
What employment applies to this position at Ramp?
Ramp lists this role as a Full-time position.
What experience level is required for this role at Ramp?
Ramp is looking for a candidate with "Senior-level" experience level.
What benefits are offered by Ramp for this role?
Ramp offers following benefits: Health Insurance, Dental Insurance, Vision Insurance, Disability Insurance, Life Insurance, Family/Dependent Health, Parental and Family Leave, Flexible/Unlimited PTO, 401k Matching/Retirement Savings, Home Office Reimbursement/Stipend, and Health & Wellness Programs for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Ramp?
You can apply for this role at Ramp either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.