Finance Data Scientist — Build Scalable Insights

Ramp; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Flexible PTO

Centralized home-office equipment

Job summary

Ramp is building the smart infrastructure for finance teams, embedding in the transaction flow of every dollar a business spends. We automate how over $200B in annual spend flows, authorizing payments, flagging risk, and closing books.

We hire people with high agency and high urgency, building systems that shape how companies move and manage billions. We are looking for data/engineering professionals with 3+ years of experience to develop data models, dashboards, and insights for Ramp's finance

Qualifications

• 3+ years of industry experience in Data Science, Software Eng, or Finance.
• Strong AI proficiency to rapidly adopt new skills.
• Track record of shipping high-quality products at scale.

Responsibilities

• Full stack development: build models to transform and expose data to stakeholders and production systems.
• Drive experimentation, testing, and best practices.
• Influence data processes, tools, and systems for scalable insights.
• Collaborate with Finance teams to develop insights and influence decisions.
• Work with data engineering to transform raw data into actionable insights for business.

Skills

Data Science

Software Engineering

SQL

Analytics

Tools

Redshift

Snowflake

BigQuery

Looker

dbt

Fivetran

Job description

Ramp is building the smart infrastructure for finance teams, embedding in the transaction flow of every dollar a business spends. We automate how over $200B in annual spend flows, authorizing payments, flagging risk, and closing books.

We hire people with high agency and high urgency, building systems that shape how companies move and manage billions. We are looking for data/engineering professionals with 3+ years of experience to develop data models, dashboards, and insights for Ramp's finance