Company Description

Dropbox is a leading global collaboration platform that's transforming the way people work together, from the smallest business to the largest enterprise. With more than 700 million registered users across more than 180 countries, our mission is to design a more enlightened way of working. From our headquarters in San Francisco to eight dedicated Studios and a worldwide team of employees who choose where they work best, our Virtual First approach is leading the way into the future of work.

Team Description

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.

Role Description 

The Data Science team is a central function that seeks to leverage data to help make better business decisions. This team leverages various data sources and quantitative techniques to synthesize narratives around how our customers use our products and develop critical insights and actionable recommendations for our business.

We are looking for a talented manager to lead a team of data scientists to answer critical questions about growing our revenue, transforming our business, and understanding the impact of our initiatives. In addition, you will collaborate with cross-functional leaders to develop a deeper understanding of our users to build the right product to meet their needs and achieve business objectives.

You will prioritize and align key analytics projects for your team and communicate quantitative insights and narratives broadly across all levels of the organization. You will also have the unique opportunity to define what data science means at Dropbox, influencing teams across the company to understand better how they can leverage information and insights to achieve their ambitious goals. Moreover, you will get the opportunity to lead a fantastic team of talented, curious, passionate data scientists to shape the future of our business.

Responsibilities

• Build and manage a high performing team of data scientists
• Coach and mentor data scientists of varying experiences to ensure their continued growth 
• Plan, execute, and complete mission-critical data science projects and provide technical leadership in a fast-paced environment
• Provide quantitative insights and perform analytical deep-dives to proactively identify growth opportunities and inform future learning, product experimentations, and product roadmaps  
• Steer the team in creating ML models to optimize our payments processing or fraud detection
• Identify key metrics and create automated dashboards to monitor and report on the health of the business
• Simplify complex concepts to a broad audience, leaning on excellent communication skills, both verbal and written
• Collaborate with cross-functional teams, including Product, Engineering, Design, Marketing, and Research, to execute against our roadmap quickly and iteratively
• Understand what matters most and prioritize ruthlessly

Requirements

• Bachelor’s degree in Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 5+ years of industry experience as a data scientist
• 2+ years of experience directly managing data scientists, quantitative researchers, or product analysts
• Ability to lead a high-performing team and inspire others 
• Ability to influence prioritization and execution of high visibility projects that affect customer experience as well as monetization
• Experience analyzing large datasets and using data to inform product and business decisions that led to measurable outcomes
• Exceptional verbal and written communication skills
• Comfortable with SQL and large datasets, strong understanding of statistics, experimentation, and modeling

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).