Senior Data Scientist, Marketing at Dropbox

This senior-level role is ideal for a seasoned data professional (7+ years of experience) who specializes in marketing measurement and causal inference. You should have a strong background in statistics, econometrics, or a related quantitative field, with high proficiency in SQL and Python/R. The team is looking for someone who can bridge the gap between complex data sets and executive-level business strategy. The position offers a highly competitive salary range ($162k–$219k CAD) and the flexibility of a fully remote work arrangement within select Canadian locations. You will have high ownership over sophisticated modeling projects like Marketing Mix Modeling (MMM) and Multi-touch Attribution (MTA), directly influencing the company’s acquisition and monetization strategies. **You might be a good fit if you...** * Have extensive experience with experiment design, incrementality testing, and propensity modeling. * Are comfortable working independently to derive actionable insights from large, unstructured Hadoop datasets. * Can translate technical findings into clear, persuasive recommendations for cross-functional stakeholders in Product and Finance. * Have hands-on experience with open-source causal inference packages like GeoLift, Robyn, or Meridian.