Data Science Job Template
Cursor · San Francisco
About this role
**About SpaceXSI** SpaceX was founded on the belief that a future where humanity is out exploring the stars is more exciting than one where we are not. SpaceXSI is building Super Intelligence to help humanity understand the universe—developing the full Super Intelligence stack, from Colossus supercomputers and Grok models to a suite of applications including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. **About the role** The Data team at SpaceXSI is a small, cross-company team that informs business and product decisions. We’re hiring the first member of our team to focus fully on **marketing**. As **Performance Marketing Data / Marketing Analytics**, you’ll sit in the central Data team and partner directly with Marketing leadership to own the measurement and analysis of performance marketing, growth marketing programs, and overall marketing measurement. You’ll help determine where the next dollar goes as we scale paid acquisition, while building the foundations of a world-class marketing data team. **What you’ll do** - **Build and own the measurement layer** for performance marketing: economics and performance by channel, campaign, audience, geo, and creative—across both PLG and Sales-Led revenue lines. - **Design incrementality tests** (geo, audience, and conversion lift) with channel owners, and use results to move budget and calibrate attribution (not just create reporting). - **Stand up and maintain a media-mix model (MMM)**, paired with test results to answer allocation questions: which channels to scale, which to cut, and where you’re hitting saturation. - **Own the quality of the predictive LTV signal** sent to Meta, Google, and other networks: validate against realized revenue, catch drift/breakage early, and partner with Data & Engineering to improve it. - **Keep pipeline source and campaign attribution separate and clean**, so self-reported source, promo codes, click-based attribution, and CRM pipeline each answer their own question without double counting revenue. **You may be a fit if** - You have **7+ years** of experience in marketing analytics, marketing science, or data science supporting paid acquisition. - You have strong **SQL and Python** skills and are comfortable building data pipelines and predictive models. - You’ve run **hold-out or incrementality tests** and worked with **MMM and attribution models** in production, understanding the limitations of each. - You understand how ad platforms report, optimize, and ingest conversion signals—and you don’t take platform-reported numbers at face value. - You communicate clearly with channel managers, Finance, and leadership, and are honest about what the data does and doesn’t support. - You’re self-directed and comfortable owning ambiguous problems end to end.
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