Dropbox

Data Scientist

Dropbox

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $144,600 - $195,600 per year

Job Level

Mid-LevelSenior

Tech Stack

HadoopPythonSQL

About the role

  • 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
  • 3-5 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.
Benefits
  • This role is not available in Zone 1
  • US Zone 2
  • US Zone 3

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLstatistical analysisexperimentation designregressiondecision treesmultivariate experimentsprogrammingscriptingRPython
Soft skills
communication skillsindependent workproactive engagementprioritizationcollaboration