Role Description

The Data Science team plays a strategic role in unlocking Dropbox’s next stages of growth. We solve key challenges to improve user experience, grow revenue, and launch high impact initiatives. Our team is highly cross-functional, working closely with Product, Marketing, Engineering, and Design teams. We are leaders in experimentation strategy and drive product roadmaps with our insights.

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

Requirements

• An upcoming Junior/Senior or Graduate student, graduating in '25 or '26, majoring in fields like Statistics, Applied Mathematics, Economics, Computer Science, or Engineering.
• Able to work independently and proactively engage with business stakeholders
• Expertise in dissecting unstructured datasets via tools like SQL, Python or R
• A solid foundation in probability and statistics. Hands-on experience with experimentation design, A/B testing, or probabilistic modeling are a plus!
• Strong verbal and written communication skills