Ramp
Summer 2025 | Applied Scientist Intern
Ramp, New York, New York, us, 10261
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 25,000 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 an Applied Science Intern to contribute to the future of Applied Science at Ramp. The Applied Science team at Ramp creates value by optimizing core leverage points across the business and owning the models powering decision-making. You will need to have a head for strategy & cross-functional collaboration since you will partner closely with business & product stakeholders to prioritize, execute, and drive results. You will also partner closely with the rest of the data team and the engineering team to design, implement, and maintain data science models in production.Applied scientists at Ramp focuse on solving quantitative problems across credit, fraud, growth, and our core product by applying the right mix of causal inference, structural modeling, and optimization.What You’ll Do
Develop Ramp’s research and experimentation frameworks by creating causal inference-based models and tools to drive analysis
Full stack data science development: from upstream data modeling and cleaning to research and prototyping to deploying and monitoring models in production
Leverage a combination of causal inference, structural modeling, and optimization to build key models to solve core business problems
Design, implement, and evaluate statistically-sound experiments to measure the causal impact of treatments and interventions
Generate and communicate data-driven insights to influence decision-making across Ramp
What You Need
Currently pursuing a M.S. (or higher) in Data Science, Computer Science, Math, Physics, Economics, Bioinformatics, Statistics, Engineering, or other quantitative fields with an expected graduation date between 2025 - 2027
Strong familiarity with the mathematical fundamentals of advanced statistics, optimization, and/or economics, as well as methods for experimental design and causal inference
Experience working with large datasets
Knowledge of SQL (preferably Redshift, Snowflake, BigQuery)
Python experience (numpy, pandas, sklearn, pytorch etc.) across exploratory data analysis, predictive modeling, and applications of ML techniques
Strong communication: the ability to bridge technical methodology to meaningful data narratives to drive company decisions and strategy
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
Strong perspective on data science engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)
Benefits (for U.S.-based full-time employees)
100% medical, dental & vision insurance coverage for youPartially 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.
#J-18808-Ljbffr
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 25,000 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 an Applied Science Intern to contribute to the future of Applied Science at Ramp. The Applied Science team at Ramp creates value by optimizing core leverage points across the business and owning the models powering decision-making. You will need to have a head for strategy & cross-functional collaboration since you will partner closely with business & product stakeholders to prioritize, execute, and drive results. You will also partner closely with the rest of the data team and the engineering team to design, implement, and maintain data science models in production.Applied scientists at Ramp focuse on solving quantitative problems across credit, fraud, growth, and our core product by applying the right mix of causal inference, structural modeling, and optimization.What You’ll Do
Develop Ramp’s research and experimentation frameworks by creating causal inference-based models and tools to drive analysis
Full stack data science development: from upstream data modeling and cleaning to research and prototyping to deploying and monitoring models in production
Leverage a combination of causal inference, structural modeling, and optimization to build key models to solve core business problems
Design, implement, and evaluate statistically-sound experiments to measure the causal impact of treatments and interventions
Generate and communicate data-driven insights to influence decision-making across Ramp
What You Need
Currently pursuing a M.S. (or higher) in Data Science, Computer Science, Math, Physics, Economics, Bioinformatics, Statistics, Engineering, or other quantitative fields with an expected graduation date between 2025 - 2027
Strong familiarity with the mathematical fundamentals of advanced statistics, optimization, and/or economics, as well as methods for experimental design and causal inference
Experience working with large datasets
Knowledge of SQL (preferably Redshift, Snowflake, BigQuery)
Python experience (numpy, pandas, sklearn, pytorch etc.) across exploratory data analysis, predictive modeling, and applications of ML techniques
Strong communication: the ability to bridge technical methodology to meaningful data narratives to drive company decisions and strategy
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
Strong perspective on data science engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)
Benefits (for U.S.-based full-time employees)
100% medical, dental & vision insurance coverage for youPartially 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.
#J-18808-Ljbffr