Data Scientist

Data Scientist at Dropbox

Dropbox is seeking a Data Scientist to collaborate with product, engineering, and design teams. The role focuses on answering critical questions to drive revenue growth, optimize products, scale the business, and launch impactful initiatives. You will leverage your understanding of user behavior, applied analytics, and business insights to solve complex problems.

Responsibilities

• Develop a deep understanding of customer journey phases and key business metrics.
• 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.
• 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

• Bachelor's or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field.
• 3-5 years of experience using analytics to drive key business decisions (e.g., business/product/marketing analytics, business intelligence, strategy consulting).
• Proven track record of working independently and proactively engaging 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 (e.g., 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.

Preferred Qualifications

• Product analytics experience in a SaaS company.
• Master's or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field.

Compensation

US Zone 2: $149,200—$201,800 USDUS Zone 3: $132,600—$179,400 USD

The listed ranges are the expected annual salary/OTE. Salary is one component of Dropbox’s total rewards, which also include a corporate bonus program or sales incentive and stock (RSUs). Starting pay considers job level, location, skillset, and peer compensation. Offers typically fall between the minimum and the middle of the range. Dropbox uses the employee's zip code to determine the metropolitan pay range.

Key skills/competency

• Data Science
• Statistical Analysis
• Experimentation Design
• SQL
• Hadoop
• Business Insights
• Customer Segmentation
• Monetization Analytics
• Product Optimization
• Python/R