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Strong brand and metro location but niche statistical sampling expertise reduces applicant density.
Statistical and sampling expertise is transferable across industries, though audience-measurement domain knowledge adds specificity.
Requires advanced degree and specialized statistical and sampling expertise, but no explicit years requirement.
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Design, execute, and interpret statistical tests (ANOVA, t-tests, parametric/non-parametric) to inform business and scientific decisions.
Develop and implement sampling methodologies ensuring data representativeness and conduct power analysis for sample size justification.
Communicate analytical results and collaborate with cross-functional teams to implement data-driven solutions, focusing on US TV Audience Measurement data structures and quality assessment.
Master's or Ph.D. in Statistics, Biostatistics, Data Science, or related quantitative field.
Proficiency in Python, Spark, SQL; working knowledge of bash and git; experience with cloud/big data tech (Databricks, Airflow, AWS).
Strong expertise in probability, statistical inference, hypothesis testing (especially ANOVA), sampling techniques, and machine learning model deployment.
Work Experience Required: Not explicitly mentioned in the JD.
Experience leading technical projects, preferably in an agile environment, with project management capabilities.
Strong analytical and statistical reasoning skills applicable to real-world machine learning and experimental design challenges.
Ability to translate complex statistical concepts to both technical and non-technical stakeholders, with experience in dashboard and data visualization creation.