AI Audience Psychographic Segmentation Developer

Polvex Studio

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

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About the role

We're scaling fast after landing three enterprise contracts with major consumer packaged goods brands. They want to understand not just who talks about them online, but why — what values, motivations, and lifestyle signals drive each segment of their audience. Psychographic segmentation on social data is your job. You'll build models that go beyond demographic inference to identify attitudinal clusters — audiences that share a mindset, not just an age bracket. The input data is social text (posts, comments, profile metadata). The output is labeled audience segments that marketing teams can act on. This is a junior role with senior mentorship. You'll start with EDA and clustering on a labeled dataset, move to building a lightweight model pipeline, and expand scope based on your progress. We're building a team, not filling a slot.

Fully remote.

Responsibilities

Perform EDA on social text and profile metadata to identify segmentation signals
Build clustering models to group audience members by attitudinal and behavioral patterns
Implement text feature extraction pipelines to surface psychographic signals from social posts
Produce segment profile summaries for client-facing reporting
Maintain Airflow pipelines for weekly audience refresh

Requirements

1–2 years of data science or ML experience, including some text analysis exposure
Python and scikit-learn for clustering and classification workflows
SQL for data extraction from our social listening database
Curiosity about consumer psychology and marketing analytics