Principal Data Scientist - Data Measurement
December 14
Description
• Lead advanced analytics and data science initiatives for Data Solutions and Media Measurement product lines. • Accountable for developing and maintaining research methods that align Cint capabilities with market claims and industry standards of measurement. • Collaborate with cross-functional teams to design, refine and automate measurement methodologies for various media platforms. • Develop and deploy statistical models, machine learning algorithms, and analytics solutions to measure media campaign effectiveness. • Serve as a technical leader and mentor to other data scientists, promoting best practices in coding and analytical techniques. • Communicate complex results and strategic recommendations to non-technical audiences through data visualizations and reports.
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. • Excellent communication skills and advanced presentation skills, with the ability to explain complex technical concepts to a large technical and non-technical audience. • Excellent interpersonal skills, able to work effectively with cross-functional teams and stakeholders. • Strong ability to analyze complex and large data sets and extract meaningful insights. • A genuine interest in exploring new data science methods, tools, and technologies to create and implement innovative solutions and approaches.
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