Data Scientist

Ramp

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: New York City, NYSan Francisco, CA
Salary: $137,120–$297,330 / yr
Employment: Full-time
Posted: 146 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $165k

This role $217k

$88k $320k

below market most similar roles pay here above market

This role pays more than 86% of similar roles. Most pay $126,800–$204,050 — the blue band above. At the midpoint, this role pays about $217k versus about $165k for comparable roles.

Based on 240 similar postings.

Employer

About Ramp

Ramp is a corporate spend management platform providing corporate cards, expense management, and accounts payable automation tools to help businesses control spending and operate more efficiently. Industry: Financial Technology & Corporate Spend Management

Ramp currently has 25 open roles on FindRole.

Listed pay typically runs $189,000–$325,000 across 21 roles with salary data.

Most-posted roles

View all roles at Ramp

At a glance

TL;DR · Data Scientist

Role Posting Log in to save

JOB TITLE: Data Scientist The Data Scientist joins the Product Data team to develop data products and insights that shape product direction and unlock business value. This role involves full stack development, where the individual builds models to consume, transform, and expose data to production systems and stakeholders. Key responsibilities include driving experimental design, collaborating with engineering and design teams on product roadmaps, and partnering with data engineering to turn raw data into actionable insights. The candidate must possess strong SQL skills in Redshift, Snowflake, or BigQuery, alongside experience with BI tools like Looker, Omni, Sigma, or Hex. The work focuses on the modern data stack, including dbt and Fivetran, to solve complex problems within the payments and financial technology space.

What does a Data Scientist earn in New York?

Median $173200 from 44 postings across 18 companies.

See salary data

Skills

SQL Snowflake Redshift BigQuery Looker dbt Fivetran Sigma Hex Omni Data Modeling Version Control Data Engineering Analytics Engineering

What you'll do

Build models to consume, transform, and expose data to stakeholders and production systems.
Develop data products and insights to improve reporting and drive process improvements.
Partner with data engineering to transform raw data into highly actionable business insights.
Collaborate with product, engineering, and design teams to develop roadmaps and measure success.
Drive a culture of experimental design, testing agendas, and data best practices.
Influence processes, tools, and systems to enable scalable decision-making.
Ship high-quality data products and features at scale in a fast-paced environment.

What we're looking for

Minimum of 4 years of industry experience as a Data Scientist.
Strong knowledge of SQL and ability to write efficient queries.
Familiarity with BI tools 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, iterative startup environment.
Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents) (preferred).
Strong perspective on analytics engineering development cycle (data modeling, version control, documentation, and testing) (preferred).
Experience within the payments and financial technology space (preferred).

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