Marketing Data Engineer - MMM & Attribution

SpaceX; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

SpaceXSI is seeking a Data Engineer, Marketing to build and own marketing measurement and analysis for performance marketing across channels and audiences. You will partner with Marketing leadership to improve incrementality testing, MMM, LTV signals, and clean attribution.

Located in San Francisco, this onsite role requires 7+ years of relevant experience, with hands-on work on data pipelines, predictive modeling, and cross-functional collaboration with the Data and Engineering teams.

Qualifications

• 7+ years in marketing analytics, marketing science or data science for paid acquisition.
• Strong SQL and Python skills with experience building data pipelines and predictive models.
• Experience running incrementality tests and working with MMM and attribution models in production.
• Understanding ad platform reporting, optimization and conversion signal ingestion.
• Clear communication with channel managers, Finance and leadership.
• Self-directed and able to own ambiguous end-to-end problems.

Responsibilities

• Build and own the measurement layer for performance marketing across channels.
• Design incrementality tests and calibrate attribution based on results.
• Stand up and maintain a media-mix model with test results to inform allocation.
• Own the quality of the predictive LTV signal sent to networks and validate against revenue.
• Keep pipeline source and campaign attribution separate and accurate.

Skills

Marketing analytics

SQL

Python

Data pipelines

Predictive models

Incrementality tests

MMM

Attribution models

LTV signals

Communication

Tools

SQL

Python

Job description

SpaceXSI is seeking a Data Engineer, Marketing to build and own marketing measurement and analysis for performance marketing across channels and audiences. You will partner with Marketing leadership to improve incrementality testing, MMM, LTV signals, and clean attribution.

Located in San Francisco, this onsite role requires 7+ years of relevant experience, with hands-on work on data pipelines, predictive modeling, and cross-functional collaboration with the Data and Engineering teams.