Senior Data Scientist Marketing

We're looking for a Senior Data Scientist to partner with Marketing Brand Product and Finance teams to answer key questions about the effectiveness of marketing across all our paid and owned channels. 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 marketing measurement methods (eg. causal inference attribution MMM) and strong technical fluency in scripting (Python/R) and querying (SQL).

• Evaluate and improve our marketing measurement leveraging techniques such as MMM(Marketing Mix Modeling) MTA(Multi touch attribution) and incrementality testing
• Perform analytical deep-dives to analyze problems and opportunities identify the hypothesis and design & execute experiments
• Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
• Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes
• Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition monetization and engagement trends.
• Extract actionable insights through analyzing large complex multi-dimensional customer behavior data sets
• Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
• Translate complex concepts into implications for the business via excellent communication skills both verbal and written
• Understand what matters most and prioritize ruthlessly
• Work with cross-functional teams (including Data Science Marketing Product Engineering Design User Research and senior executives) to rapidly execute and iterate

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

What We Do

We're a global community of bold visionaries and resourceful doers who are shaping the future of Dropbox—and with it the future of work. Our Virtual First model combines the flexibility of a distributed workplace with the power of human connection making space for both meaningful work and meaningful relationships. With our start-up mindset and enterprise-level opportunities you can be who you are and grow into who you’re meant to be. Here you can own your impact to make work more intuitive joyful and human—for you as a Dropboxer and for hundreds of millions of people worldwide. If you're ready to push boundaries—and yourself—Dropbox is ready for you.

Why Work With Us

We believe people do their best work when empowered with autonomy and harmony and we understand there’s no substitute for human connection. Our Virtual First model combines the flexibility of remote work with the power of in-person collaboration to create the best of both worlds: a distributed workplace anchored in community.

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