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Data Scientist

New York, NY (HQ) · San Francisco, CA · Remote (US) · New York City, NY, USA

Open 5 months, first seen by us 153 days ago
Pay
Pay not listedSimilar roles state $118K–$193K
Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Data — team source

What you’ll work on

Full posting

We’re looking for someone to help lead the future of analytics at Ramp.

  • Build models that transform, expose, and serve data to stakeholders and production systems

  • Drive experimental design and a testing agenda

  • Partner with product, engineering, and design to set roadmaps and measure success

  • Work with data engineers to turn raw data into actionable insights

From the employer’s posting
We’re looking for someone to help lead the future of analytics at Ramp. This person will enable Ramp to get 1% better every day by developing data products and insights. They will partner closely with business stakeholders and product, engineering, and design counterparts to prioritize and execute on work, improve reporting, as well as drive results and process improvements.
building models to consume, transform, and expose data to stakeholders and production systems
Drive a culture of experimental design, testing agenda, and best practices
Collaborate with P/E/D/D (product, engineering, data and design) teams to develop product roadmaps and measure success
Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights

What you’ll bring

All qualifications

Core experience

  • 4+ years of industry experience as a Data Scientist
  • Strong SQL, ideally on Redshift, Snowflake, or BigQuery
  • BI tool experience (Looker, Omni, Sigma, Hex or equivalent) and distributing dashboards
  • Track record of shipping high-quality products and features at scale
Qualification wording
Minimum of 4 years of industry experience as a Data Scientist
Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries
Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards
Track record of shipping high quality products and features at scale

About Ramp

Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends.

In the employer’s words · Read in context · Company website ↗

Apply at Ramp

Posting record

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Open 5 monthsWe first saw this posting 153 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 4, 2026153 days ago
Recorded sightings
281
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$193K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 153

Up longer than most. Similar jobs usually come down between day 7 and day 55.

From 9,990 similar postings that came down. Coming down is not always a hire.

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • BigQuery
  • dbt
  • Fivetran
  • Hightouch
  • Looker
  • Redshift
  • Sigma
  • Snowflake
Where the posting names them
- Minimum of 4 years of industry experience as a Data Scientist - Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries - Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards
Nice-to-Haves - Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents) - Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
- Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries - Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards - Track record of shipping high quality products and features at scale

Your next step

Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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 $275B in annualized spend flows in and out of 85,000+ 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 7.5% 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.

About the Role

We’re looking for someone to help lead the future of analytics at Ramp. This person will enable Ramp to get 1% better every day by developing data products and insights. They will partner closely with business stakeholders and product, engineering, and design counterparts to prioritize and execute on work, improve reporting, as well as drive results and process improvements.

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 P/E/D/D (product, engineering, data and design) teams to develop product roadmaps and measure success

  • 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 4 years of industry experience as a Data Scientist

  • Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries

  • Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards

  • 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

Nice-to-Haves

  • Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)

  • Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)

  • Experience within the payments and financial technology space

  • Familiarity with B2B enterprise sales cycle metrics and processes

About Our Teams

  • Product Data | Ramp’s Product Data team is responsible for delivering data products and insights that shape Ramp’s product direction and unlock business value. The Product Analytics team is also responsible for building out the platform through which new products are launched, instrumented, tested, and QA’d. The team embeds deeply as a partner to engineering, product, and design.

  • Risk & Capital Markets Data | Ramp’s Risk Data team is responsible for how risk is evaluated, and building the risk infrastructure to scale to millions of businesses in the United States. Areas include risk operations and underwriting, limit setting and pricing across financial products as well as fraud detection, regulatory reporting, and capital market relationships.

  • Growth Data | Ramp's Growth Data team ships data products and insights that allow Ramp to acquire new business and expand existing business and partnerships at scale. Current areas of focus include: Web & Martech, Outbound Automation, Customer Data Platform, Self-Service Product, GTM Strategic Finance, and Business Systems.

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

Source details

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New York City, NY, USA

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