Senior Data Scientist | Growth at Ramp

Ramp

New York, NY (HQ)·1d ago

SeniorFull-timePythonMachine LearningData ScienceAIMLData

Salary Range

$104,975 - $142,025 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Growth Data Scientist to join Ramp, a financial operations platform that helps companies save time and money. In this role, you will help define analytical frameworks and strategic roadmaps for optimizing and scaling marketing investments across brand channels.

Key Responsibilities

→Employ statistical, machine learning, and econometric models on large datasets to evaluate channel performance and discern the causal impact of marketing and sales campaigns
→Build attribution models and investment frameworks to inform Ramp’s future brand channel investments
→Partner closely with Martech, Business Systems, and Growth Engineering teams to leverage data across first and third-party sources
→Drive experimental design and implementation on new channels and surface areas of Ramp
→Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems

Requirements

✓Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Data Scientist
✓Strong python experience (numpy, pandas, sklearn, etc.) across exploratory data analysis, predictive modeling, and applications of ML techniques
✓Strong knowledge of SQL (preferably Snowflake, BigQuery, or Redshift)
✓Proven leadership and a track record of shipping improvements with growth and product organizations
✓Strong perspective on the marketing experimentation lifecycle
✓Deep familiarity with marketing attribution, martech, and the modern privacy landscape
✓Ability to thrive in a fast-paced, start-up environment