Data Scientist

Ramp

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
New York, NY
Salary
$137,120–$297,330 / yr
Posted
100 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k
This role $217k
$85k most similar roles pay here $320k

This role pays more than 85% of similar roles. Most pay $126,800–$196,387 — the shaded band above. At the midpoint, this role pays about $217k versus about $162k 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 34 open roles on FindRole.

Listed pay typically runs $168,000–$297,330 across 34 roles with salary data.

Most-posted roles

View all roles at Ramp

At a glance

TL;DR · Data Scientist

The Data Scientist joins the Product Data team to lead the future of analytics by developing 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 stakeholders and production systems while driving a culture of experimental design and testing best practices. The candidate will collaborate with product, engineering, and design teams to develop roadmaps and work with data engineering teams to turn raw data into actionable insights. Required skills include at least four years of experience, proficiency in SQL using Redshift, Snowflake, or BigQuery, and familiarity with BI tools like Looker, Omni, Sigma, or Hex. The role addresses the technical challenge of managing high-stakes, data-dense financial transaction flows and risk infrastructure.

What does a Data Scientist earn in New York?

Median $173200 from 38 postings across 17 companies.

See salary data

What you'll do

  • Build full-stack data models to consume, transform, and expose data to stakeholders and production systems.
  • Develop data products and insights to improve business results and internal processes.
  • Drive a culture of experimental design, testing agendas, and analytics best practices.
  • Partner with product, engineering, and design teams to develop roadmaps and measure success.
  • Collaborate with data engineering teams to transform raw data into actionable insights for business units.
  • Create and distribute data insights through reports and dashboards using BI tools.
  • Influence the development of internal tools and systems to enable scalable decision-making.

What we're looking for

  • Minimum of 4 years of industry experience as a Data Scientist.
  • Strong knowledge of SQL, including Redshift, Snowflake, or BigQuery.
  • Experience with BI tools such as Looker, Omni, Sigma, Hex, or equivalent.
  • Proven track record of shipping high-quality products and features at scale.
  • Ability to thrive in a fast-paced startup environment using iterative technical solutions.
  • Experience with the modern data stack including Fivetran, Snowflake, dbt, and Hightouch.
  • Strong perspective on analytics engineering development cycles like data modeling and version control.
  • Experience in payments, financial technology, or B2B enterprise sales cycle metrics.

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