Engineering Manager, Data Science - Location Flexible

Role Description
Dropbox simplifies the way people work together. Hundreds of millions of people around the world use Dropbox to work the way they want, on any device, wherever they go. As we scale our global brand, there’s plenty of space for you to grow alongside us and help deliver on this mission. 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 500 million registered users across more than 180 countries, our mission is to unleash the world’s creative energy by designing a more enlightened way of working. Headquartered in San Francisco, CA, Dropbox has more than 12 offices around the world.

The Data Science team is a central function whose goal is to build a deep understanding of Dropbox users, their motivations, and how they use our products. This team leverages a variety of data sources and quantitative techniques to synthesize stories around how our... customers use our products and develop key insights and actionable recommendations for our product teams.

In this role, you will lead a team of Data Scientists who use data to enable better decision-making for a portfolio Dropbox’s next gen products and features. You will work cross-functionally with product, engineering, design, marketing and research leadership to leverage data to guide both strategic and operational product decisions. You will be responsible for aligning key data science projects for you and your team with product roadmaps and ensuring you communicate your insights broadly. Additionally, you will directly own and complete analytics milestones for a selection of high-priority projects.
Responsibilities
Manage a team of high performing data scientists and help them execute along the most important priorities for the ranking team and Instagram as a whole.
Coach, mentor and help set strategy for Data Scientists to drive even more impact for the team
Partner with other data science teams across the company to develop a common quantitative perspective on how we understand our products
Maintain a high bar in terms of product thinking and analytical depth for your team through selective hiring and mentorship.
Partner with engineers, researchers , designers and product managers effectively and contribute heavily to major analytical and product initiatives across the product areas in your scope
Work to develop a product metrics model for your area of the product and continue to refine it through analysis, experimentation and research partnership
Leverage data and analytics to proactively identify the most impactful opportunity areas, and then build cases for why we should pursue them
Requirements
7+ years experience performing data-driven product analysis in a tech company
2+ years directly managing or mentoring data scientists, quantitative researchers, or product analysts
3+ years of experience communicating the results of analyses to leadership teams to influence the strategy
BS/BA in Math, Economics, Statistics, Computer Science, or other quantitative field
Experience initiating and drive projects to completion with minimal guidance
Ability to analyze large datasets and use data to inform product or business decision making, with a track record of driving directly measurable product or business impact
Ability to work in a highly collaborative environment across Product, Engineering, Design and other business teams
Deep understanding of and empathy for end-users
Excellent written and oral communication skills