Data Science Intern (Summer 2025)

Role Description

As a Dropbox intern, you are part of a top-notch learning experience with data scientists from all backgrounds. Here, you’ll dive deep into a specific business unit—be it Desktop, Usability, Teams, Growth, or another—and harness Dropbox data to craft actionable insights. You’ll have a dedicated Dropboxer by your side, mentoring you every step of the way.

Our goal is to create a robust and impactful learning experience. You can expect to learn how to apply modern data science principles across our revenue, marketing and product teams. We're all about feedback, so anticipate continual guidance refining your approach. And while you're forging your path, we're here to ensure you bond with like-minded interns, discover mentors, and lay the bricks for an expansive professional network.

We will work with you to accommodate your school end and start dates culminating in a minimum of a 12-week long internship.

Responsibilities

• Develop a deep understanding of customer journey phases and key business metrics
• Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
• Identify key trends and build executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends
• Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
• Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
• Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, and User Research) to rapidly execute and iterate

Basic Qualifications

• An upcoming Master's student, graduating in '26, majoring in fields like Data Science, Statistics, Applied Mathematics, Economics or someone with 0-1 years of relevant experience 
• Able to work independently and proactively engage with business stakeholders
• Strong verbal and written communication skills