Staff Data Scientist
Growth
Posted on 3/25/2024
Dropbox

1,001-5,000 employees

Smart workspace & storage solutions
Company Overview
Dropbox’s mission is to design a more enlightened way of working with their custom-built storage infrastructure designed for a variety of needs. The company is committed to keeping life organized and keep work moving with their secure file sharing, collaboration, and storage solutions.
Consulting
Venture Capital
Data & Analytics

Company Stage

Series C

Total Funding

$1.7B

Founded

2007

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
R
SQL
Marketing
Hadoop
Data Analysis
CategoriesNew
Data Science
Data & Analytics
Requirements
  • Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
  • 10+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
  • Past experience working with marketing analytics and utilizing causal inference for marketing measurement
  • 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
Responsibilities
  • Evaluate and improve marketing measurement leveraging techniques such as MMM (Marketing Mix Modeling), MTA (Multi-touch Attribution), and incrementality testing
  • Develop descriptive and predictive quantitative models to support optimization of marketing campaigns
  • Leverage internal and third-party tools to gain the data needed for marketing insights
  • 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
  • Identify key trends and build automated reporting & executive-facing dashboards to track the progress of marketing-driven 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 marketing campaigns for 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 to rapidly execute and iterate