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Senior Data Scientist | Product

Senior Data Scientist | Product
New York, US
170,000 - 200,000
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Job Description

Ramp is building the next generation of finance tools—from corporate cards and expense management, to bill payments and accounting integrations—designed to save businesses time and money with every click. Over 12,000 customers cut their expenses by 3.5% per year and close their books 8x faster by switching to the Ramp platform.

Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment software in America and enables billions of dollars of purchases each year. Ramp continues to grow quickly, more than doubling its revenue run rate in the first half of 2022.

Valued at $8.1 billion, Ramp's investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures, General Catalyst, and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. Ramp was named Fast Company’s most innovative finance company in 2022 and #5 on LinkedIn Top Startups 2022.

About the Role

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 5 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, 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)


  • The annual salary/OTE range for the target level for this role is $170,000-$200,000 + target equity + benefits (including medical, dental, vision, and 401(k)

Ramp Benefits (for U.S. based employees)

  • 100% medical, dental & vision insurance coverage for you
    • Partially covered for your dependents
    • One Medical annual membership
  • 401k (including employer match)
    • Please note only 401k contributions made while employed by Ramp are eligible for an employer match
  • Unlimited PTO
  • Fertility HRA Up to $5,000 per year
  • WFH stipend to support your home office needs
  • Wellness stipend
  • Parental Leave
  • Relocation support
  • Pet insurance
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