Data Scientist
Ramp · New York, NY · 2 mo ago
HybridEngineeringFull-time
About the role
We're seeking a Data Scientist to lead analytics at Ramp. Your responsibilities include:
- Full stack development, building models to consume, transform, and expose data
- Driving a culture of experimental design, testing, and best practices
- Contributing to our data team culture by influencing processes, tools, and systems
- Collaborating with P/E/D/D teams to develop product roadmaps and measure success
- Working closely with data engineering teams to capture, move, store, and transform raw data
- Partnering with business teams to turn insights into action
Requirements
- Minimum of 4 years of industry experience as a Data Scientist
- Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery)
- Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent)
- 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
- Track record of shipping high quality products and features at scale
- Ability to thrive in a fast-paced, constantly improving, start-up environment
- Focus on solving problems with iterative technical solutions