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Data Science Job Template

DataOn-site — San Francisco
Published on 2026-10-21
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Own marketing measurement and analysis for performance and growth marketing across SpaceXSI’s AI product portfolio. Build the data foundations and provide evidence-based guidance on acquisition spend, channel performance, and marketing impact.

About the company

Cursor builds an AI coding editor and agent workflows that help developers write and ship software faster. It serves software teams looking for tighter AI assistance inside the IDE.

The team

Central Data team, partnering with Marketing leadership.

Stack

SQLPython

What you'll do

  • Build measurement for marketing performance across channels, campaigns, audiences, geographies, and creative.
  • Design and run incrementality tests, then use results to guide budget allocation and attribution.
  • Build and maintain a media-mix model and combine it with test results to assess channel scale and saturation.
  • Validate predictive LTV signals sent to advertising platforms against realized revenue and monitor for drift.
  • Keep pipeline-source and campaign-attribution data distinct and prevent revenue double counting.

What we're looking for

  • 7+ years in marketing analytics, marketing science, or data science supporting paid acquisition.
  • Strong SQL and Python skills, including experience building data pipelines and predictive models.
  • Experience running holdout or incrementality tests and working with production MMM and attribution models.
  • Understand how advertising platforms report, optimize, and ingest conversion signals.
  • Communicate clearly with channel managers, Finance, and leadership; be transparent about data limitations.
  • Self-directed, with the ability to own ambiguous problems end to end.

Nice to have

  • Experience measuring marketing across both product-led and sales-led revenue lines.
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