Senior Data Scientist, Marketing
Data & Analytics
Excel
WFA Digital Insight
As demand for data-driven marketing strategies grows, Dropbox is seeking a Senior Data Scientist to drive business growth. With a 25% increase in marketing analytics roles in the past year, professionals with expertise in causal inference, attribution, and marketing mix modeling are in high demand. Before applying, candidates should be prepared to showcase their technical fluency in scripting and querying languages, as well as their ability to communicate complex concepts to cross-functional teams.
Job Description
About the Role
We're looking for a Senior Data Scientist to partner with our Marketing, Brand, Product, and Finance teams to answer key questions about the effectiveness of marketing across all our paid and owned channels.Responsibilities
- Evaluate and improve our marketing measurement leveraging techniques such as MMM, MTA, and incrementality testing
- Perform analytical deep-dives to analyze problems and opportunities, identify hypotheses, 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.
Requirements
- Bachelors’ or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 7+ years experience using analytics to drive business growth
How to Stand Out
- Be prepared to showcase your proficiency in Excel and other data analysis tools during the interview process.
- Develop a portfolio that highlights your ability to communicate complex data insights to non-technical stakeholders.
- Practice explaining technical concepts, such as causal inference and marketing mix modeling, in simple terms.
- Research Dropbox's current marketing strategies and be prepared to discuss how you can contribute to their success.
- Consider highlighting any experience you have with cloud-based data storage solutions, such as Dropbox, to demonstrate your understanding of the company's products.
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