AI Earned Media Attribution Developer

Polvex Studio

Remote · $80k – $100k / year · Full-time · Posted 4 months ago

This role is no longer accepting applications

Don't miss the next role like this

Create a free profile with your skills. We match you to new AI roles as they open, and companies hiring can contact you directly.

Create free profile, 2 minutes

Similar open roles you can apply to now:

See all open AI jobs

This role is no longer accepting applications

Don't miss the next role like this

Create a free profile with your skills. We match you to new AI roles as they open, and companies hiring can contact you directly.

Create free profile, 2 minutes

Similar open roles you can apply to now:

See all open AI jobs

About the role

Earned media — press coverage, analyst mentions, third-party reviews, social shares by non-paid accounts — is marketing that brands don't pay for directly. It's also the hardest type to attribute: when a prospect mentions 'I read about you in TechCrunch' during a sales call, that's a data point; connecting it systematically to pipeline and revenue at scale requires an attribution model that links brand mentions in external media to downstream commercial outcomes. Our social listening platform tracks 280 brands across 85 media sources. Earned media attribution is the commercial intelligence layer we're building on top of that coverage data: connecting media mention volume, sentiment, and source authority to changes in brand search volume, website traffic, and sales inquiry rates in the days and weeks following coverage. You'll build the attribution model: engineering temporal features that capture the delayed response between earned media events and commercial signals, building causal analysis that separates earned media impact from paid campaign effects running simultaneously, and creating the attribution reporting that shows brand and PR teams which coverage types drive the most measurable downstream commercial impact.

Fully remote.

Responsibilities

Build temporal features capturing lagged response between earned media events and commercial signal changes
Implement causal attribution analysis separating earned media impact from concurrent paid campaign effects
Develop media authority scoring weighting coverage by source reach and audience relevance
Create attribution reporting connecting coverage type, sentiment, and source to commercial outcome changes
Build earned media ROI estimation translating attribution signals into equivalent paid media cost benchmarks
Monitor attribution model accuracy comparing predictions against realized commercial outcomes

Requirements

3+ years in marketing analytics, media analytics, or data science with attribution modeling experience
Strong Python and SQL skills with causal inference, time-series analysis, and mixed media modeling
Understanding of PR metrics, brand tracking, and marketing attribution methodology
Experience separating correlated effects in marketing data using causal analysis approaches
Ability to present attribution findings to PR and brand marketing audiences