Finance Data Scientist: Build Scalable Insights

Ramp; New York (NY); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Flexible PTO

Home-office equipment ordering

Health and wellness stipend

Intra-office travel budget

Weekly coffee stipend

Job summary

Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate hundreds of billions in annual spend and empower teams to act on insights at scale.

What You’ll Do: develop full-stack data systems, drive experimental design, and collaborate with finance and data eng teams to turn raw data into actionable business insights. Join a fast-growing startup that values ownership and high-urgency problem solving.

Qualifications

• Minimum of 3 years of industry experience in Data Science / Software Engineering / Finance.
• Strong AI proficiency as a lever 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, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions.
• Familiarity with financial metrics and processes (e.g. contribution profit, financial statements, monthly close) and / or B2B enterprise sales cycle metrics and processes.
• Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries.

Responsibilities

• 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 Finance teams to develop financial insights and influence business decisions.
• 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.

Skills

Data Science

Software Engineering

Finance

AI proficiency

Shipping products

Startup environment

SQL (Redshift/Snowflake/BigQuery)

Tools

Looker

Fivetran

Snowflake

dbt

Job description

Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate hundreds of billions in annual spend and empower teams to act on insights at scale.

What You’ll Do: develop full-stack data systems, drive experimental design, and collaborate with finance and data eng teams to turn raw data into actionable business insights. Join a fast-growing startup that values ownership and high-urgency problem solving.