Data Scientist, Finance

Ramp

Confirmed live yesterday High trust
Remote

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k
This role $217k
$89k most similar roles pay here $320k

This role pays more than 85% of similar roles. Most pay $126,800–$198,000 — 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, Finance

Data Scientist, Finance will join the data team to perform full stack development by building models that consume, transform, and expose data to production systems and stakeholders. The role involves driving a culture of experimental design, influencing internal processes and tools, and collaborating with finance teams to develop insights for business decisions. You will work with data engineering teams to turn raw data into actionable information while managing the analytics engineering development cycle including data modeling and version control. Required skills include SQL proficiency in Redshift, Snowflake, or BigQuery, along with AI proficiency and experience with financial metrics like contribution profit and monthly close. The role addresses high-stakes, data-dense problems within the payment and financial technology space to solve complex challenges regarding how companies manage spend and move money.

What does a Data Scientist earn in New York?

Median $173200 from 38 postings across 17 companies.

See salary data

What you'll do

  • Perform full-stack development to build models that consume, transform, and expose data to stakeholders and production systems.
  • Partner with data engineering teams to capture, move, store, and transform raw data into actionable insights.
  • Collaborate with Finance teams to develop financial insights and influence business decisions.
  • Drive a culture of experimental design, testing agendas, and best practices within the data team.
  • Influence processes, tools, and systems to enable scalable decision-making.
  • Translate complex data insights into actionable items for various business units.

What we're looking for

  • Minimum of 3 years of industry experience in Data Science, Software Engineering, or Finance.
  • Strong AI proficiency 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 startup environment with iterative technical solutions.
  • Familiarity with financial metrics/processes or B2B enterprise sales cycle metrics and processes.
  • Strong knowledge of SQL, including writing efficient queries for Redshift, Snowflake, or BigQuery.
  • Experience with the modern data stack (Fivetran, Snowflake, dbt, Looker, Hightouch) (preferred).
  • Familiarity with BI tools and experience distributing insights via reports and dashboards (preferred).

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