Role Description

The Data Science team is a central function which seeks to leverage data to help make better business decisions. This team leverages a variety of data sources & quantitative techniques to synthesize stories around how our customers use our products & develop key insights & actionable recommendations for our product teams.

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

Youll act as one of the most senior analytics leaders at Dropbox, & will work alongside senior executives to advise on the companys most important quantitative projects & achieve its most strategic business goals, as well as partner with the marketing organization. To do this, youll align key analytics projects for you & your team with business objectives, & communicate your insights broadly across multiple leadership teams. Youll also have the unique opportunity to define what analytics means at Dropbox by influencing groups across the company to better understand how they can leverage data to achieve their most ambitious goals. This role is highly strategic and uniquely is positioned to drive multiplier impacts for Dropbox as we continue to innovate & expand our core products. At the same time, you will get to lead an amazing team of talented, passionate data scientists & partner with senior leaders across Dropbox functions to shape the future of our business.

Responsibilities

• Serve as the data leader to drive incredibly high quality bar expected by both our customers & the broader Dropbox organization, through clear and repeatable data informed approach
• Develop a deep understanding of customer journey phases, performance of different marketing channels & key business metrics
• Drive the development of descriptive & predictive quantitative models to support optimization of our marketing campaigns & spend allocation
• Identify key trends & build automated reporting & executive-facing dashboards to track the progress of marketing-driven acquisition, monetization, & engagement trends. 
• Evaluate & improve our marketing measurement leveraging techniques such as MMM (Marketing Mix Modeling), MTA (Multi-touch Attribution), & incrementality testing
• Leverage data-driven insights to proactively identify most impactful opportunities, understand marketing channel performance & user engagement behavior to inform future experimentation design & marketing strategy
• Build the reliable, efficient, & scalable data foundations & execution standards, tools, documentation and operating processes for our organizations long-term growth
• Monitor & analyze a high volume of experiments designed to optimize our marketing campaigns for revenue & promote best practices for multivariate experiments
• Translate complex concepts into implications for the business via excellent communication skills, both verbal & written
• Mentor & coach data scientists and create an effective working model between DS & XFNs

Requirements

• Masters or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 10+ years experience of leveraging data-driven analysis to influence key business decisions & executives, preferably in a tech company
• 3+ years serving as a technical leader to work with data scientists, engineers, marketing managers, user researchers, and designers
• Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction & driver measurable business impact
• Ability to influence prioritization & execution of high impact projects effecting customer experience, monetization, & entire organizations roadmap
• Ability to analyze large datasets & use data to inform product or business decision making, with a track record of driving directly measurable business impact
• Deep understanding of statistical analysis, experimentation design, & common analytical techniques like regression, decision trees
• Executive presence with excellent verbal & written communication skills
• Previous experience building data driven programs & teams - proficient with SQL, Python & experiences with large datasets, deep understanding of statistical analysis & experiment design