Principal Data Scientist - Media Measurement
December 12
Description
• Lead advanced analytics and data science initiatives for Data Solutions and Media Measurement • Develop and deploy statistical models, machine learning algorithms, and custom analytics solutions • Collaborates with cross-functional teams to design, refine and automate measurement methodologies • Independently plan, develop, and manage projects from concept to completion with no supervision • Serve as a technical leader and mentor to other data scientists in the team
Requirements
• Advanced degree (Ph.D. or Master's) in a quantitative field such as Data Science, Statistics, Mathematics, Economics, or Computer Science with outstanding analytical expertise • 4 years focused on media measurement, marketing analytics, or advertising • 10+ years of experience in data science, analytics, or related fields, with at least 4 years focused on media measurement, marketing analytics, or advertising • Proven track record in leading large-scale data science projects, mentoring teams, driving strategy and delivering business impact • Extensive experience in advanced statistical techniques and concepts e.g., multivariate (parametric/ non-parametric) testing, sampling theory, weighting/projection, experimental design, regression/predictive modeling, causal inference techniques • Strong programming skills in Python (as statistical and ML package tools) • Proven expertise in advanced Python prototyping • Proficiency with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques (e.g., clustering, regression, decision-trees) • Advanced SQL skills and familiarity with big data technologies (Spark, Hadoop, Databricks) • Strong understanding of infrastructure cost management, particularly in relation to processing large datasets efficiently • Experience in online survey methodologies
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