Product Senior Data Scientist

Job Description

******Role Overview:**In this role, you will work with multiple stakeholders across Play to define metrics and deliver insightful data and analysis. You will serve as an analytics expert for the partners, using numbers to help them make decisions. Your primary focus will be on driving analysis for Play, with the goal of optimizing the purchase flow and experience. You will drive better product and business decisions to improve Play business generation. Additionally, you will be responsible for translating data into interpretations and recommendations, implementing process improvements, and serving as a key input in product development and operations decision-making.**Key Responsibilities:**- Drive analysis for Play, focusing on product features and user experience across Play business generation.- Partner with Program Management, Engineering team, and other Play teams to provide data feed, experiment design, and product insights to improve performance.- Act as a 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 frameworks and build views to measure product success and provide insights at scale.**Qualifications Required:**- Bachelors degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field with 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 Masters degree.- Masters degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.- Experience with developing machine learning models, launching 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.[Note: Additional details about Google Play and the companys commitment to equal employment opportunity have been omitted for brevity.] ******Role Overview:**In this role, you will work with multiple stakeholders across Play to define metrics and deliver insightful data and analysis. You will serve as an analytics expert for the partners, using numbers to help them make decisions. Your primary focus will be on driving analysis for Play, with the goal of optimizing the purchase flow and experience. You will drive better product and business decisions to improve Play business generation. Additionally, you will be responsible for translating data into interpretations and recommendations, implementing process improvements, and serving as a key input in product development and operations decision-making.**Key Responsibilities:**- Drive analysis for Play, focusing on product features and user experience across Play business generation.- Partner with Program Management, Engineering team, and other Play teams to provide data feed, experiment design, and product insights to improve performance.- Act as a 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 frameworks and build views to measure product success and provide insights at scale.**Qualifications Required:**- Bachelors degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field with 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 Masters degree.- Masters degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.- Experience with developing machine learning models, launching 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.[Note: Additional details about Google Play and the companys commitment to equ

Keyskills :
AnalyticsStatisticsMathematicsData ScienceEngineeringPhysicsEconomicsPythonSQLMachine LearningModel DevelopmentClassificationRegressionBusiness GenerationAB TestingData InfrastructureBusinessProduct ImprovementPredictionInferential Tas