Dropbox
San Francisco
1,001-5,000 employees
Dropbox is one place to keep life organized and keep work moving.
Other Open Roles
- Customer Analytics - Insights Analyst
- Senior Director, Data Science
- Senior Machine Learning Engineer, Dash
- Insights Analyst
Prior Listings
- Data Engineer
- Senior Business Intelligence Engineer, Data Science
- Product Manager, New Frontiers - Machine Learning - Location Flexible
- Director of Marketing Operations, Technology, and Data
- Data Scientist, DBX Core Data Science
- Sr. Marketing Analyst
- Staff Machine Learning Software Engineer
- Senior Data Scientist, Growth
- Senior Engineering Manager, Machine Learning
- Data Scientist
- Senior Machine Learning Software Engineer
- Data Scientist, Revenue & Growth Finance
- Senior Data Engineer
- Senior Data Scientist, DBX Core Data Science
- Marketing Analytics Lead - Location Flexible
- Data Analytics Developer - Customer Experience
- Data Engineer
- People Analytics Lead, Research & Insights
- Data Engineer
- Intern, Business Analyst Engineer (Summer 2021)
Data Scientist
Data Scientist
This job is no longer open
Role Description
We're looking for a Data Scientist to partner with revenue, marketing, and product teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. 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 consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.
Responsibilities
- Develop a deep understanding of customer journey phases and key business metrics
- 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
Requirements
- Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 5+ 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 is a plus
This job is no longer open