Senior Data Scientist, New Products - Location Flexible
San Francisco, CA; Remote - US
Dropbox
Dropbox helps you simplify your workflow. So you can spend more time in your flow.Role Description
We're looking for a Senior Data Scientist to partner with several of our new businesses to answer key questions about how to grow revenue, 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 the product; define the key metrics that will guide the team in the early phases of identifying product market fit.
- Develop a 360 degree perspective on the data needs for the products from logging to dashboarding.
- Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
- Create propensity models to enable targeting of users within the existing Dropbox user base.
- Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
- Identify key trends and build 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
- Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
- Understand what matters most and prioritize ruthlessly
Requirements
- Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 3-5 years experience using analytics/data science 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
- Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus
- Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
- Strong verbal and written communication skills
Tags: Business Intelligence Computer Science Consulting Economics Engineering Hadoop Mathematics Python R Research SQL Statistics
Perks/benefits: Startup environment
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