Staff Data Scientist, Ramp
Product
$225.3-265k
OTE
+ Target equity
More information about location
All-in-one financial operations platform
Job no longer available
All-in-one financial operations platform
1001+ employees
Job no longer available
$225.3-265k
OTE
+ Target equity
More information about location
1001+ employees
Company mission
To help finance teams build healthier businesses.
Role
Who you are
- Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 8 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 to business problems
- Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery)
- Proven leadership and a track record of shipping improvements with growth and product organizations
- Strong perspective on the experimentation lifecycle (hypothesis generation, experimental design, implementation, statistical analysis, A/B testing best practices)
- Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
Desirable
- Experience at a high-growth startup
- Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Census or equivalents)
- Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)
- Strong perspective on data science engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
What the job involves
- We’re looking for someone to help lead the future of data science at Ramp. In this role, you will help define the product and operational roadmaps for how Ramp users onboard and activate
- You will partner closely in Ramp’s development process through product ideation, experimental design, implementation, execution, and analysis. You will partner closely with Ramp’s operational teams to improve internal processes, build playbooks, and recommend actions
- Ultimately, we will depend on you to improve the Ramp customer journey by leveraging your advanced analytics skills and business context, enabling us to get 1% better every day
- Develop Ramp’s product research and experimentation frameworks, from hypothesis development and experimental design to implementation and analysis
- Contribute to Ramp’s product roadmap by working closely with stakeholders throughout the lifecycle of prioritization: from complex and nebulous business context, to well-defined objectives, to a roadmap of scoped opportunities for leveraging data science to drive business results
- Leverage advanced statistical approaches to solve customer problems, and perform deep analysis against large and complex product data sets
- Partner with cross-functional product, engineering, and design teams to influence decision making across Ramp
- 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
Our take
Ramp provides companies with a dual offering of corporate cards and a spending management dashboard. The dashboard allows companies to oversee their costs, automate manual accounting practices, reimburse out-of-pocket spending, and earn cashback on financial outlays.
Founded in 2019 and coming out of stealth in 2020, the company quickly reached a valuation of a whopping $8.1B in early 2022 and hit $22.5B in 2025. Its clients include several big-name companies including fast-growth health tech startup Ro, Planned Parenthood, and Truebill. 90% of its customers have made the switch from legacy players such as Expensify and Concur, showing that Ramp provides real customer value.
The team that built Ramp is the same one that launched the automated price tracking company Paribus before selling it to Capital One. It is now focused on scoping out more M&A opportunities and boosting its headcount to support investing in its software and going into new verticals.
Freddie
Company Specialist at Welcome to the Jungle
Insights
77% employee growth in 12 months
Company
Funding (last 2 of 12 rounds)
Nov 2025
$300m
GROWTH EQUITY VC
Jul 2025
$500m
SERIES E
Total funding: $2.1bn
Company benefits
- Comprehensive medical, dental, and vision insurance
- One Medical Membership
- 401(k) including an employer match
- Unlimited PTO
- Parental leave
- Monthly wellness stipend
- WFH stipend
- Relocation support to move to NYC
- Pet Insurance
Company HQ
Ukrainian Village, New York, NY
Leadership
Eric Glyman
(Co-Founder & CEO)Studied Economics at Harvard. Was a Trustee at Global China Connection for over 5 years, and then became a Financial Analyst working at Millstein & Co. Co-founded Paribus, which became Capital One.
Karim Atiyeh
(Co-Founder & CTO)Studied Computer Science at Harvard, and became a Teaching Fellow. Worked in PowerPoint and Excel at Oliver Wyman. Became an Advisor at One Zero Capital. Founded and served as CTO to Paribus, later sold to Capital One.
Gene Lee
(Co-Founder)Studied at and became a Research Assistant at the University of Chicago. Was a Marketing Contractor at AdBlock and worked as a Software Engineer at BTCjam. Worked again as a Software Engineer at Paribus and then became Senior Engineering Manager at Capital One.
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