Junior Marketing Data Scientist

As a Junior Marketing Data Scientist, you're applying data science techniques to marketing problems. This means building predictive models, segmenting customers, analyzing campaign attribution, and extracting insights from large datasets that inform marketing decisions.

Your day balances technical work and communication. You might spend the morning building a customer segmentation model in Python, then analyze A/B test results, then present findings to marketers who need to act on them. Expect significant heads-down coding time, periodic collaboration with marketing stakeholders, and the challenge of translating technical findings into actionable recommendations.

The people who thrive here love both data and marketing problems. You need strong technical skills (Python, SQL, statistics) and the ability to explain complex analyses to non-technical colleagues. Curiosity about marketing — what makes customers buy, why campaigns work — helps you ask the right questions and generate relevant insights.