Using available data to address business questions or concerns. If a question requires additional data, work with engineers to create the required data.
Serving as a resource for senior business (internal) customers, educate the firm on methodologies and define firm data requirements.
Using data to develop and present recommendations on improving advertising ROI, measuring client profitability or answering business questions on optimizing marketing spend.
Use data mining, model building or other analytical techniques to develop and maintain client segments.
Lead the definition and implementation of ads quality metrics and user experience metrics.
Other responsibilities, as requested.
Degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, applied mathematics, physics, electrical engineering, industrial engineering) or equivalent experience.
3+ years’ experience doing quantitative analysis or statistical modeling
Experience extracting and manipulating large datasets
Development experience in any scripting language (PHP, Python, Perl, etc.)
Knowledge of at least one modeling framework (e.g., SciKit Learn, TensorFlow, SAS, R, MATLAB)
Highly proficient in spoken and written English