What It's Like to Be a Data Scientist at Ramp
At Ramp, data is at the heart of everything we do. As a Data Scientist, you'll be part of a team that's revolutionizing how businesses manage their finances. You won't just be running queries; you'll be a strategic partner, working closely with product, engineering, and design teams to shape the future of Ramp's products. The data science team is pivotal in driving the company's growth and success, from optimizing customer acquisition and underwriting risk to personalizing the user experience and building intelligent financial products. You'll be working with a modern data stack that includes Snowflake, dbt, and Looker, and you'll have the opportunity to work on a wide range of projects, from building predictive models to designing and analyzing experiments. Ramp's engineering blog, "Builders," showcases the company's commitment to using cutting-edge technology to solve complex problems. For example, they have built their own AI-powered coding agent and an agentic data analyst to accelerate development and data analysis. This indicates a culture of innovation and a willingness to invest in tools and technologies that empower their data scientists.
The day-to-day life of a Data Scientist at Ramp is dynamic and fast-paced. You'll be expected to be a "full-stack" data scientist, comfortable with everything from data modeling and transformation to building and deploying machine learning models. You'll be working in a highly collaborative environment, where you'll be expected to communicate your findings to both technical and non-technical audiences. Ramp's data scientists are embedded within product and business teams, which means you'll have a direct impact on the company's bottom line. You'll be working on projects that are critical to the company's success, such as building models to detect fraudulent transactions, optimizing marketing spend, and developing new product features. Ramp's commitment to data-driven decision-making means that your work will be highly valued and will have a real impact on the company's direction.
Salary & Compensation
Compensation for Data Scientists at Ramp is competitive and is benchmarked against top-tier tech companies. The salary package includes a competitive base salary, equity, and a comprehensive benefits package. The exact compensation will vary depending on your experience level and location.
| Level | Base Salary | Total Comp (incl. equity) |
|---|---|---|
| Entry (L1-L2) | $135K-$170K | $180K-$240K |
| Mid (L3-L4) | $170K-$220K | $240K-$350K |
| Senior (L5+) | $220K-$300K | $350K-$500K+ |
Interview Process
The interview process for a Data Scientist role at Ramp is designed to be challenging but fair. It typically consists of 4-5 rounds, including a recruiter screen, a technical phone screen, and a virtual onsite loop.
- Recruiter Screen - A 30-minute call with a recruiter to discuss your background, experience, and interest in the role.
- Technical Phone Screen - A 60-minute technical interview with a Data Scientist. This will typically involve a combination of SQL, Python, and product-sense questions. You can expect to be asked to solve a real-world data problem.
- Onsite/Virtual Loop - A series of 3-4 interviews with Data Scientists, a hiring manager, and cross-functional partners. These interviews will cover a range of topics, including your technical skills, your product sense, and your ability to collaborate with others. You can expect a mix of technical and behavioral questions, as well as a case study or a take-home assignment.
- Hiring Committee - The final stage of the process is a review by Ramp's hiring committee, which makes the final hiring decision.
How to Stand Out
- Demonstrate your product sense. Ramp is a product-driven company, so it's important to show that you understand their products and their users. Be prepared to discuss how you would use data to improve Ramp's products.
- Showcase your technical skills. Ramp is looking for Data Scientists who are proficient in SQL, Python, and the modern data stack. Be prepared to write code and solve complex data problems.
- Highlight your experience with experimentation. Ramp has a strong culture of experimentation, so it's important to show that you have experience with A/B testing and other experimental design techniques.
- Be a strong communicator. Ramp is a highly collaborative company, so it's important to be able to communicate your ideas clearly and concisely to both technical and non-technical audiences.
- Show your passion for Ramp's mission. Ramp is on a mission to help businesses save time and money. Show that you're excited about their mission and that you want to be a part of their team.