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Tier-1 brand, metro location, popular ML/Data Scientist title, and broad tech requirements increase competition.
Core ML and data engineering skills are transferable, though media audience-measurement domain adds moderate specificity.
Explicit 0-3 years requirement plus demanded Python, Spark, AWS, and production deployment skills.
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Build and deploy AI/ML measurement and planning solutions for media publishers, advertisers, and agencies.
Implement AI opportunities in projects and maintain production data pipelines and models in cloud environments.
Collaborate with cross-functional teams to optimize methodologies and communicate research findings effectively.
0-3 years work experience in relevant field.
Proficiency in Python, Spark, AWS, SQL, AI, and Machine Learning.
Degree in data science, statistics, engineering, applied mathematics, operations research, information sciences, or a related biological/physical science.
Experience with code documentation, Git/GitLab, and Atlassian tools (JIRA, Confluence).
Comfortable working at the intersection of data science, sampling analytics, software development, and data engineering in fast-paced environments.
Experience with cloud computing platforms like AWS and familiarity with productionizing data science projects.
Strong analytical skills in statistical methods, machine learning, and handling large datasets with an ability to reduce bias and impute missing data.