Consultants, Data Science & Analytics for various & unanticipated worksites throughout the U.S. (HQ: Chicago, IL). Work with quantitative marketing data to analyze and reveal business drivers. Utilize technical skills to handle big data, online search, online advertising attribution, and online/offline marketing optimization problems using SQL, R, Python, Spark, Matlab, or similar. Work closely with other data scientists, consultants, and external clients to identify new analytic insights. Implement multi-touch attribution models (MTA), marketing mix models (MMM), and experimentation studies to address marketing effectiveness, return on investment (ROI), brand equity impact, segmentation, pricing, and environmental factors. Build multi-touch attribution models (MTA) and marketing mix models (MMM) that are based on statistics, econometrics, and/or 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. Ensure rigorous quality control and detect anomalies in existing data models utilizing ongoing new data streams.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees