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Job description
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.
What You’ll Do
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
What You Need
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
Nice-to-Haves
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)
Compensation
The annual salary/OTE range for the target level for this role is $225,250-$265,000 + target equity + benefits (including medical, dental, vision, and 401(k)
Benefits (for U.S.-based full-time employees)
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 $5,000 per year)
WFH stipend to support your home office needs
Wellness stipend
Parental Leave
Relocation support for NY
Pet insurance
Other notices
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.