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Job Description
Senior Analysts for various and unanticipated worksites throughout the U.S. (HQ: Chicago, IL). Implement multi-touch attribution models (MTA) and marketing mix models (MMM) based on statistics, econometrics, and machine learning techniques such as logistic regression, choice model, time-series model, panel data model, Bayesian statistics, ridge regression, structural equations, probability theory, and clustering algorithms. Analyze big data sets to generate deep insights on paid media, organic media, market conditions, web navigations, and individuals’ propensities on multi-step conversion activities in the consumer journeys. Validate model results and package them into insightful client-friendly reports on ROI analysis, forecasting, simulation, and optimization. Identify new insights, translate findings into the stakeholder’s native language and tell stories to make complex things simple to understand and translate into measurable actions. Ensure model quality in terms of modeling methodologies, data/model validation metrics, actionable insights, and analytical/technical best practices. Technical environment: big data analysis, SQL, R, Python, cloud computation.
Job Requirements
*Master’s degree in Statistics, Analytics, Operations Research, Econometrics, or related degree required. Required skills: (could be gained through experience or education): big data analysis, SQL, R, Python, logistic regression, choice model, time-series model, panel data model, Bayesian statistics, ridge regression, structural equations, probability theory, clustering algorithms, cloud computation. 100% telecommuting permitted. (*Bachelor's degree in Statistics, Analytics, Operations Research, Econometrics, or related degree plus 2 years of experience in Quantitative Analytics also acceptable.)
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