As a Senior Data Scientist at Ramp, you will join the growth team to define analytical frameworks and strategic roadmaps that optimize marketing investments across all brand channels. Your day-to-day responsibilities include employing statistical models on large datasets to evaluate channel performance, building attribution models to inform future investments, and partnering with engineering teams to leverage data for better decision-making. You will also drive experimental design and implementation to iterate quickly on new channels while contributing to the culture of Ramp’s data team by influencing processes and tools that enable scalable decision-making. The ideal candidate has a strong background in quantitative fields, at least 5 years of industry experience as a Data Scientist, proficiency with Python (numpy, pandas, sklearn) and SQL, and expertise in marketing experimentation lifecycle and attribution models. Experience with the modern data stack and familiarity with B2B enterprise sales cycle metrics are also beneficial.
Employ statistical models to evaluate channel performance and determine the impact of marketing campaigns.
Build attribution models to inform future brand channel investments and optimize marketing spend.
Partner with engineering teams to leverage data from first and third-party sources for better decision-making.
Drive experimental design and implementation on new channels to iterate quickly and cost-effectively.
Contribute to the development of processes, tools, and systems that enhance scalable decision-making.
What we're looking for
Bachelor’s degree or above in a quantitative field with at least 5 years of industry experience as a Data Scientist.
Strong proficiency in Python for exploratory data analysis and predictive modeling.
Expertise in SQL (Snowflake, BigQuery, Redshift preferred) for data manipulation and retrieval.
Proven leadership in shipping improvements within growth and product organizations.
Deep understanding of marketing experimentation lifecycle and best practices.
Familiarity with modern privacy landscape and evolving trends in marketing attribution.
Ability to thrive in a fast-paced startup environment focusing on iterative technical solutions.
Market check
Salary context
This
$165,800–$228,050
range sits above
74%
of similar postings on FindRole.
Peer median band
$110,000–$220,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$129,025–$198,000
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Ramp
Ramp is a corporate spend management platform providing corporate cards, expense management, and accounts payable automation tools to help businesses control spending and operate more efficiently. Industry: Financial Technology & Corporate Spend Management
Ramp currently has
30 open roles
on FindRole.
Listed pay typically runs
$168,000–$287,450
across 30 roles with salary data.