Data Science Manager

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What Ramp is looking for in applicants

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

  • Minimum 1 year of experience hiring and managing data scientists
  • M.S. degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 3 year of industry experience as a Data Scientist
    • Bachelor's degree with a minimum of 5 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

Want some tips on how to get an interview at Ramp?

What is Ramp looking for?
If this role looks interesting to you, a great first step is to understand what excites you about the team, product or mission. Take your time thinking about this and then tell the team! Get in touch and communicate that passion.
What are interviews for Data Science Manager like?
Interview processes vary by company, role and team. The best plan is to see what others have experienced and then plan accordingly.
How to land an interview at Data Science Manager?
A great first step is organizing your path to an offer. Check out Kiter for tools to get started!