Senior Data Scientist at Ramp

Ramp is building the world's first finance automation platform designed to save businesses time and money. Ramp offers 5-in-1 software that consolidates corporate cards, expense management, bill payments, accounting, and reporting into one simple and free solution. More than 3,000 businesses are using Ramp to process billions in annualized transaction volume. Customers include some of the fastest growing startups and unicorns like Ro, DoNotPay, Better, ClickUp, and Applied Intuition, as well as established businesses across the US such as Bristol Hospice, Walther Farms, Douglas Elliman, and Planned Parenthood.
Founded in 2019, Ramp is NYC's fastest growing startup, having achieved a unicorn valuation of $3.9 billion in just over 2 years. Ramp has raised $620 million in funding from investors including Founders Fund, Stripe, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. Ramp is part of the Forbes Fintech 50 and Fast Company's Best Workplaces for Innovators program.
What You’ll Do
The Data Science team at Ramp creates value by optimizing core leverage points across the business (i.e. Risk, Growth, Core Product, etc). 

Leverage a combination of structural modeling, causal inference, machine learning, and optimization to build key algorithms to solve core business problems
Work across the lifecycle of quantitative problems -- from formalizing nebulous business problems into tractable quantitative frameworks, to doing research & prototyping, to working with engineers to put algorithms into production
Design & run statistically-sound experiments to measure the causal impact of your work
Define, clean, and transform large datasets from a wide array of data sources
Contribute to the company roadmap by working closely with product management, engineering, and other stakeholders

What You Need

M.S. degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 1 year of industry experience as a Data Scientist

Bachelor's degree with a minimum of 2 years of industry experience



Advanced SQL expertise (preferably PostgreSQL 11.x and newer)
Experience leveraging scripting languages (i.e. Python) to work with large datasets
Familiarity with the mathematical fundamentals of statistics, optimization, and/or economics
Familiarity with experimental design (such as A/B testing), causality, and statistical methods
Track record of shipping high quality products and features at scale

Nice to Haves

PhD in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields

Familiarity with Tensorflow

Prior experience within data engineering; creating & maintaining ETLs / pipelines
Experience at a high-growth startup
Background in finance, risk, underwriting, and/or fraud

Ramp Benefits (for U.S. based employees)

100% medical, dental & vision insurance coverage for you

Partially covered for your dependents

401k (including employer match)
Parental Leave
Unlimited PTO
WFH stipend to support your home office needs
Monthly wellness stipend
Annual education reimbursement
Relocation support