Senior Data Scientist | Product

About Ramp

Ramp is a financial operations platform designed to save businesses time and money. Combining corporate cards with expense management, bill payments, vendor management, accounting automation, and more, Ramp's all-in-one solution frees finance teams to do the best work of their lives. More than 30,000 companies, from family-owned farms to e-commerce giants to space startups, have saved $1B and 10M hours with Ramp. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment platform in America, and enables over 35 billion dollars in purchases each year.

Ramp's investors include Sequoia, Founders Fund, Thrive Capital, Khosla Ventures, Greylock, Stripe, Goldman Sachs, Coatue, and Redpoint, 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 has been named to Fast Company's Most Innovative Companies list and LinkedIn's Top U.S. Startups for over 3 years, as well as the Forbes Cloud 100, CNBC Disruptor 50, and TIME Magazine's 100 Most Influential Companies.

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, 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)
  
  

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 to NYC or SF
• 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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