Drive analysis for Play, focusing on product features and user experience across Play business generation, with the primary goal of optimizing the purchase flow and experience.
Partner with Program Management, Engineering team, and other Play teams to provide data feed, experiment design and product insights that will improve performance, and ensure proper logging and metrics are available for performance measurement.
Act as thought partner to produce insights and metrics for various technical and business stakeholders across Play.
Deliver presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
Develop framework and build views to measure product success and provide insights at scale.
Minimum qualifications:
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree.
Preferred qualifications:
Master's degree in Statistics, Mathematics, Data Science , Engineering, Physics, Economics, or a related quantitative field.
Experience with developing machine learning models (e.g., supervised and unsupervised), launch experiments (e.g., A/B Testing), and end-to-end data infrastructure and analytics pipelines.
Experience in identifying opportunities for business/product improvement and defining/measuring the success of those initiatives.
Experience in developing new models, methods, analysis and approaches.
Experience with classification and regression, prediction and inferential tasks, training/validation criteria for Machine Learning (ML) algorithm performance.
Knowledge of business generation.
