June 2026 archive · For research and skill exploration. Current job availability is unverified.
Dropbox
Data Scientist
Data Scientist driving revenue growth and product optimization through customer behavior analytics and experimentation.
DropboxText summary from the June 2026 archive. original source →
The role
This role partners with product, engineering, and design to answer critical business questions about revenue growth, product optimization, and monetization using applied analytics and user behavior insights. The scientist works across the organization to inform strategy through deep customer lifecycle analysis and experimentation, reporting to business leadership on trends and opportunities.
What you'd do
- Build comprehensive understanding of customer journey phases and core business metrics
- Conduct analytical investigations to identify problems, form hypotheses, and design experiments
- Perform exploratory analysis on user engagement to surface insights and guide future experimentation
- Develop segmentation models using propensity scoring to enable personalized targeting
- Build automated dashboards and reporting systems tracking acquisition, monetization, and engagement metrics
- Extract insights from large, complex, multi-dimensional customer datasets
- Monitor and analyze high-volume experiments to optimize user experience and revenue
- Communicate complex analytical findings to business stakeholders verbally and in writing
- Collaborate with cross-functional teams to execute and iterate rapidly
What they're looking for
- Bachelor's degree or higher in quantitative field (Statistics, Mathematics, Economics, Computer Science, Engineering, or related)
- 3–5 years using analytics to drive business decisions (product, marketing, or business analytics, BI, or strategy consulting)
- Proven ability to work independently and engage stakeholders with minimal guidance
- Significant SQL proficiency and experience with large unstructured datasets (Hadoop or similar)
- Deep knowledge of statistical analysis, experimentation design, and analytical techniques (regression, decision trees)
- Strong track record running multivariate experiments to optimize products or revenue
- Excellent verbal and written communication abilities
Nice to have
- Programming or scripting proficiency with statistical packages (R, Python)
- Product analytics experience in SaaS environments
- Master's degree or higher in quantitative discipline
Summary written by RoleDeck from the original posting. This is an extracted, own-words summary and may contain errors. The original source may have changed or expired.