Data Scientist, All Levels

Summary

Ramp is building smart infrastructure for finance teams, automating how businesses manage their spending. They are seeking a Data Scientist to develop data products and insights, collaborating with various teams to enhance reporting and drive process improvements.

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 P/E/D/D (product, engineering, data and design) teams to develop product roadmaps and measure success
• 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

• Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries
• Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards
• 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
• Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
• Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
• Experience within the payments and financial technology space
• Familiarity with B2B enterprise sales cycle metrics and processes

Qualifications

Must Haves

• Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries
• Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards
• 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

Nice to Haves

• Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
• Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
• Experience within the payments and financial technology space
• Familiarity with B2B enterprise sales cycle metrics and processes

Benefits

• 100% medical, dental & vision insurance coverage for you
• Partially covered for your dependents
• One Medical annual membership
• 401k (including employer match on contributions made while employed by Ramp)
• Flexible PTO
• Fertility HRA (up to $10,000 per year)
• Parental Leave
• Unlimited AI token usage
• Pet insurance
• Centralized home-office equipment ordering for all employees
• Health and Wellness stipend
• In-office perks: lunch, snacks, drinks, and more
• Budget for intra-office travel
• Relocation support to NYC or SF (as needed)