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Popular ML Data Scientist title, metro location, and broad production-plus-research skillset increase competition.
Core ML and production skills transfer across industries, though media measurement methodology adds moderate domain specificity.
Requires production ML, data pipelines, and methodology skills but lists no strict years, creating moderate filter rigidity.
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Develop and deploy AI/ML models and measurement solutions for media publishers, advertisers, and agencies.
Manage end-to-end reproducible data science projects including data pipeline and production model maintenance.
Collaborate cross-functionally to optimize and validate methodologies, conduct research on audience measurement methodologies, and ensure production code quality.
Experience with AI/ML model development and production deployment; exact years not explicitly mentioned.
Proficiency in software development best practices relevant to data science.
Ability to support and maintain production data pipelines and models.
Work Experience Required: Not explicitly mentioned in the JD.
Comfortable bridging data science, software development, and data engineering disciplines at scale.
Experienced in applying machine learning techniques within production cloud environments.
Skilled at communicating complex methodology and research findings to diverse stakeholders.