Data Scientist Jobs

Dropbox is a special place where we are all seeking to fulfill our mission to design a more enlightened way of working. We’re looking for innovative talent to join us on our journey. The words shared by our founders at the start of Dropbox still ring true today.
Wouldn’t it be great if our working environment—and the tools we use—were designed with people’s actual needs in mind? Imagine if every minute at work were well spent—if we could focus and spend our time on the things that matter. This is possible, and Dropbox is connecting the dots.
The nearly 3,000 Dropboxers around the world have helped make Dropbox a living workspace - the place where people come together and their ideas come to life. Our 700+ million global users have been some of our best salespeople, and they have helped us acquire customers with incredible efficiency. As a result, we reached a billion dollar revenue run rate faster than any software-as-a-service company in history.
Dropbox is making the dream of a fulfilling and seamless work life a reality. We hope you’ll join us on the journey.

Our Product team advocates for our users and our business, setting the vision for our growing family of products. We use data, research, strategy, and empathy to guide multidisciplinary teams toward a common goal, balancing diverse perspectives and empowering our teams to do great work. As we scale globally, there’s plenty of space for you to grow alongside us and simplify life for millions of people around the world in team that always focuses on we, not I, and creates delightful products that are worthy of trust.

We're looking for a Data Scientist to partner with revenue, marketing, and product teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.

• Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
• Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
• 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
• Develop a deep understanding of customer journey phases and key business metrics
• Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.
• Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
• Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes
• Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
• Understand what matters most and prioritize ruthlessly

• 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• Solid background in running multivariate experiments to optimize a product or revenue flow
• Significant experience with SQL and large unstructured datasets such as Hadoop
• Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
• Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Strong verbal and written communication skills

For candidates hired in the following locations: Austin (TX) metro, Chicago metro, Colorado, Massachusetts, Maryland, Oregon, Washington D.C. metro, California (outside SF metro), the expected salary/On-Target Earnings (OTE) range for the role is currently $139,200 - $163,800 - $188,400.

For candidates hired in the following locations: Arizona, Florida, Georgia, Illinois (outside Chicago Metro), North Carolina, Tennessee, Texas (outside Austin Metro), Virginia (outside D.C. Metro), the expected salary/On-Target Earnings (OTE) range for the role is currently $123,800 - $145,600 - $167,400.

Range(s) is subject to change. Dropbox takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location/metropolitan area, skillset, and peer compensation. Dropbox uses the zip code of an employee’s remote work location to determine which metropolitan pay range we use.

Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).

Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).