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AI Earned Media Attribution Developer

Amelia Weber

Full-time · Job · New_York

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.

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

Benefits

  • Fully remote with flexible schedule
  • Health and dental insurance
  • $2,500 annual professional development budget
  • 401(k) with match
  • Performance bonus

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Job Type

Full-time

Level

Mid-Level

Language

English

Salary Range

$80k – $100k / year

AI Expertise

AI Business, Marketing & Strategy data science & analytics

Skills

python sql pandas statistics fastapi openai api

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