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Dropbox, headquartered in Mission Bay, San Francisco, CA, is a leading cloud storage and collaboration platform with over 700 million registered users. Since its IPO in 2018, Dropbox has raised $607.4 million in funding and employs over 1,000 people. The company has transitioned from traditional fil...
Dropbox offers comprehensive medical, dental, and vision coverage, along with a generous PTO policy allowing up to four consecutive weeks off. Employe...
Dropbox fosters a culture of innovation and adaptability, focusing on transforming from a storage provider to a collaborative workspace. The company e...

Dropbox • Remote - US: All locations
Dropbox is hiring a Data Science Intern for Summer 2026 to apply modern data science principles across revenue, marketing, and product teams. You'll gain hands-on experience with SQL, NumPy, and NLP techniques while analyzing customer data. This role is ideal for those looking to start their career in data science.
You are an aspiring data scientist eager to learn and grow in a collaborative environment. With a solid foundation in data analysis and statistical concepts, you bring a curious and analytical mindset to the table. You are comfortable working with SQL and have a basic familiarity with natural language processing (NLP) techniques and models, such as BERT. Your problem-solving skills are complemented by a willingness to experiment with new tools and approaches, making you a great fit for this internship.
You thrive in a mentorship-driven atmosphere, where feedback is encouraged, and you can refine your approach to data science. You are excited about the opportunity to bond with fellow interns and build a professional network that will support your career growth. Your passion for data and analytics drives you to identify trends and insights that can impact customer strategy.
Experience with large datasets and familiarity with large language models (LLMs) will set you apart. If you have worked on projects involving prompt design and basic evaluation techniques, that would be a plus. Your enthusiasm for learning and applying modern data science principles will help you excel in this role.
As a Data Science Intern at Dropbox, you will be part of the Customer Strategy Organization (CSO), where you will analyze a wide range of data sources, including customer surveys, support tickets, call transcripts, and product usage data. Your primary responsibility will be to identify trends, insights, and areas of opportunity that can enhance customer experience and drive business growth.
You will gain hands-on experience applying statistical methods and NLP techniques to real-world customer problems. This will involve working closely with data scientists from diverse backgrounds, who will mentor you throughout your internship. You can expect to receive continual guidance as you refine your analytical approach and learn to apply modern data science principles effectively.
Your role will also include collaborating with various teams, including revenue, marketing, and product, to ensure that your analyses align with their strategic goals. You will have the opportunity to present your findings and recommendations to stakeholders, helping to shape the direction of customer strategy at Dropbox.
Dropbox is committed to creating a robust and impactful learning experience for its interns. You will have the chance to work in a supportive environment where your contributions are valued. The internship is designed to last a minimum of 12 weeks, accommodating your school schedule while providing you with a comprehensive introduction to the field of data science.
In addition to hands-on experience, you will have access to a network of mentors and peers who can help you navigate your career path. The internship offers a competitive compensation of $7,500 for the duration of the program, ensuring that you are rewarded for your hard work and dedication.
Join Dropbox as a Data Science Intern and take the first step in your data science career, where you will learn, grow, and make a meaningful impact on customer strategy.
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