Data Scientist

Ramp

Remote

Quick summary

Work type: Remote
Location: New York City, NY
Salary: $137,120–$297,330 / yr
Posted: 3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $151k

This role $217k

$75k most similar roles pay here $321k

This role pays more than 93% of similar roles. Most pay $126,800–$176,100 — the shaded band above. At the midpoint, this role pays about $217k versus about $151k 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 30 open roles on FindRole.

Listed pay typically runs $168,000–$288,000 across 30 roles with salary data.

Most-posted roles

View all roles at Ramp

At a glance

TL;DR · Data Scientist

Apply Now Log in to save

As a Senior Data Scientist at Ramp, you will join the Product Data team to drive the future of analytics by developing data products and insights that shape product direction and unlock business value. Your day-to-day responsibilities include full-stack development, building models to transform raw data into actionable insights, collaborating with P/E/D teams on product roadmaps, and working closely with data engineering teams to capture and store data efficiently. You will also contribute to a culture of experimentation and best practices within the team. Ideal candidates have at least four years of industry experience as a Data Scientist, strong SQL skills (preferably Redshift, Snowflake, BigQuery), familiarity with BI tools like Looker or Hex, and a track record of shipping high-quality products at scale. Experience with the modern data stack and knowledge of B2B enterprise sales cycle metrics are highly desirable.

Skills

SQL Redshift Snowflake BigQuery Looker Hex dbt Fivetran Hightouch CI/CD Python PostgreSQL Kafka Airflow Docker Git AWS Google Cloud B2B enterprise sales cycle metrics payments and financial technology

What you'll do

Develop full stack data models to consume, transform, and expose data.
Drive experimental design, testing agendas, and best practices within the team.
Influence processes, tools, and systems to enhance decision-making scalability.
Collaborate with P/E/D teams to develop product roadmaps and measure success.
Work closely with data engineering teams to capture, store, and transform raw data.

What we're looking for

Minimum 4 years of industry experience as a Data Scientist
Strong knowledge of SQL and proficiency with BI tools like Looker or equivalent
Track record of shipping high-quality products and features at scale
Ability to collaborate effectively with P/E/D teams on product roadmaps
Experience in developing data products, transforming raw data into actionable insights
Thrives in fast-paced startup environments focusing on iterative technical solutions
Familiarity with modern data stack tools (Fivetran / Snowflake / dbt / Looker)

Save