Blue Moon Digital Inc. is a Digital Consultancy with a team of experts leveraging proprietary technology & data science to help clients optimize their businesses and digital marketing initiatives.

Blue Moon Digital, Inc. is seeking a three-month contractor to lead the design and execution of a media mix model for a large enterprise. The ideal candidate will have extensive experience in media mix modeling, building statistical regressions, and interfacing closely with team members from different disciplines. The position requires clear, frequent communication, and the ability to solve a variety of technical problems. Are you passionate about what you do? Are you a quick learner? Do you have exceptional technical skill? We want to talk to you. We anticipate anywhere from 30-40 hours per month, for up to 3 months of contract work.

Responsibilities:

•        Build Multi-Touch Attribution Models (MTA) and Marketing Mix Models (MMM) to analyze ROI from marketing spend, optimize spend allocation by channel, and identify key sales drivers
•        Design the model structure, variable entities, and variable transformations
•        Build analytic attribution models and marketing mix models using advanced 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, clustering algorithms, decision trees, etc.
•        Quantify the impact of paid media, organic media, web navigations, and individuals’ propensities on multi-step conversion activities in the consumer journeys
•        Analyze 3rd party tracking data to understand the customer journey, key indicators of purchase intent, and sales drivers. Understand media overlap, reach, frequency, and targeting effectiveness
•        Validate the model using statistical diagnostic techniques, attribution results, ROI, forecasting, simulation and optimization
•        Conduct rigorous QA of model to ensure accuracy and effectiveness

Requirements:

•         Bachelor’s degree required, preferred with mathematical or engineering background: Statistics, Data Mining, Operations Research, Econometrics, Finance, Engineering or similar
•         Algorithmic Attribution or Last Click Attribution experience required
•        Experience in marketing mix modeling, digital attribution modeling, multivariate regression, time-series modeling, Bayesian statistics, segmentation modeling, machine learning, data mining, simulation, optimization, and/or forecasting
•        Technical or programming skills to solve large-scale information, online search, online advertising attribution and online/offline marketing optimization problems
•         Experience was Hadoop, Hive, SQL, R, Python, Spark, Matlab or similar is required
•         5+ years of quantitative analytics experience with marketing metrics and tracking, marketing analytics, and attribution modeling is highly desirable
•         3-5 years of work in digital AdTech industry with thorough understanding of digital metrics highly desirable
•         Excellent communication skills and problem-solving skills a must

If you’re excited about data and solving problems, we want to hear from you!