p>To address these critical questions, you will become adept in: • Mathematical modeling • Creating econometric models to estimate marketing-driven sales and return on investment (ROI) • Implementing machine learning (ML) to forecast consumer response and future ROIs • Diagnosing mathematical integrity and actionable business implications from model results • Business and marketing insights • Identifying brand, category, and competitive information that explains clients sales • Evaluating media budget, media mix, and media buys to address sales from media • Assessing target customers and audience to shape future brand and media strategies • Business communication and project management • Interviewing clients teams and marketing partners • Training of effective and succinct presentation abilities • Timely tracking of data and information gathering and delivery of modeling projects.
About You General Prerequisites Recent graduate with two or less years of experience in data science, consulting, or marketing analytics A team player who is also an independent thinker; recognition that value comes from a collective effort Strong analytical skills with curiosity and a willingness to think the impossible Deadline-driven, organized, and capable of multi-tasking Strong verbal and written skills with an interest in presentations Preferred background Coursework in econometrics, machine learning, multivariate analysis, and/or time series analysis Proficiency or familiarity with open-source modeling languages, such as R or Python Proficiency or familiarity with data and spreadsheet tools like MS Excel/PPT, SQL, and/or Tableau Any prior interest or knowledge in marketing science topics and advertising/media data A bachelors degree is required; a masters degree in quantitative discipline is a plus.