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Senior Data Scientist, Marketing

1 day, 17 hours ago
Canada
Full-time
Senior
Data Scientist
Data Science and Analytics
Hadoop Machine Learning Python R SQL Statistics
Apply Now
Dropbox

Dropbox

Dropbox is a technology company that builds simple, powerful products for individuals and businesses. With over 700 million registered users worldwide, Dropbox offers file sync, sharing, online backup, cloud storage, collaboration tools, and more to st...

Internet Software & Services
1K-5K
Founded 2007
View All Jobs 106

Description

  • Evaluate and improve marketing measurement using approaches such as marketing mix modeling, multi-touch attribution, and incrementality testing.
  • Perform analytical deep-dives to identify hypotheses, design experiments, and execute analyses on business problems and opportunities.
  • Use exploratory analysis to understand user engagement behavior and inform future experimentation plans and roadmaps.
  • Create personalized segmentation strategies using propensity models to target offers and experiences based on user attributes.
  • Identify key trends and build automated reporting and executive-facing dashboards for acquisition, monetization, and engagement metrics.
  • Extract actionable insights from large, complex, multidimensional customer behavior datasets.
  • Monitor and analyze a high volume of experiments optimizing product experience and revenue, and promote multivariate experimentation best practices.
  • Translate complex analytical concepts into business implications through strong verbal and written communication.
  • Work with cross-functional teams across Data Science, Marketing, Product, Engineering, Design, User Research, and senior leadership to execute and iterate quickly.

Requirements

  • Bachelor’s degree or higher in a quantitative discipline such as Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or a related field.
  • 7+ years of experience using analytics to drive key business decisions in areas such as business analytics, product analytics, marketing analytics, business intelligence, or strategy consulting.
  • Proven ability to work independently and proactively engage business stakeholders with minimal direction.
  • Significant experience with SQL and large unstructured datasets such as Hadoop.
  • Deep understanding of statistical analysis, experimentation design, and analytical techniques such as regression and 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 statistical packages such as Python or R.
  • Experience with open-source packages for incrementality testing and MMM such as Meta Geolift, Google Causal Impact, Google Meridian, Lightweight MMM, or Meta Robyn (preferred).
  • Master’s or Ph.D. in a quantitative field (preferred).
  • Experience with predictive modeling, machine learning, and experimentation/causal inference methods (preferred).
  • Experience using AI coding assistants such as Claude Code, GPT Codex, Copilot, or similar tools (preferred).

Benefits

  • Canada pay range of $162,400 to $219,600 CAD.

Interested in this position?

Apply directly on the company website

Apply Now

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