Principal Data Scientist - Media Measurement
December 13
Description
• Lead advanced analytics and data science initiatives for Data Solutions and Media Measurement product lines. • Develop and deploy statistical models, machine learning algorithms, and custom analytics solutions to measure the effectiveness of media campaigns. • Collaborates with cross-functional teams to design, refine and automate measurement methodologies for TV, digital, social, and other media platforms. • Lead the research and discovery phases for both new and existing products and partner closely with engineering teams to transition prototypes into robust, scalable solutions. • Develop customer-facing methodology resources and thought leadership. • Support business teams in explaining and defending measurement methodologies broadly to customers. • Independently plan, develop, and manage projects from concept to completion with no supervision, ensuring timely and high-quality delivery. • Partner with product teams and other stakeholders to translate business needs into actionable data science initiatives. • Serve as a technical leader and mentor to other data scientists in the team, promoting best practices in coding, experimentation, and analytical techniques. • Stay updated with the latest industry trends and emerging methodologies in media measurement and data science. • Communicate complex results, insights and strategic recommendation to non-technical audiences through compelling data visualizations, detailed reports and presentations.
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
Apply NowSimilar Jobs
November 27
Be a vital part of 1KOMMA5° as a VPP Modeling Engineer / Data Scientist, enhancing energy resource integration. Drive development of models for virtual power plants and optimize energy market participation.