Product Data Scientist, Pixel

Role Overview: As a Data Analyst at Google, you will play a crucial role in the Pixel phone business by utilizing your expertise in data analysis, statistical modeling, and machine learning. You will be responsible for providing critical insights to drive business and product strategies, working closely with various teams within Google to optimize user experiences and enhance decision-making processes. Key Responsibilities: - Own and execute the workstream of Pixel dashboards, data engineering, dashboard design, metrics definitions, and insights sharing. - Perform analysis on key Pixel metrics to identify opportunities for strategy improvement. - Liaise and align cross-functionally with Product Management, Marketing, Sales, and Executive Team to understand key business/product problems, leverage analytics to find solutions, and impact decisions by sharing findings. - Build predictive and causal models to understand user behaviors such as churn, loyalty, and engagement. - Perform regular data engineering to generate datasets that support above efforts. Identify KPIs and perform analysis and experiments to properly evaluate the success of Pixel programs/products. Qualifications Required: - Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience. - 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL). - Advanced degree in a quantitative discipline is preferred. - Experience performing data engineering and programming in Python. - Experience with experiment design and measurement. - Understanding of decision science, with the ability to drive optimal choices based on available information while eliminating bias. - Excellent SQL, data analysis, and problem-solving skills, with the ability to understand statistical modeling techniques as well as machine learning. - Excellent communication and stakeholder management skills, with the ability to interact with other teams and Googles leadership. (Note: The additional details of the company were not explicitly mentioned in the provided job description.) Role Overview: As a Data Analyst at Google, you will play a crucial role in the Pixel phone business by utilizing your expertise in data analysis, statistical modeling, and machine learning. You will be responsible for providing critical insights to drive business and product strategies, working closely with various teams within Google to optimize user experiences and enhance decision-making processes. Key Responsibilities: - Own and execute the workstream of Pixel dashboards, data engineering, dashboard design, metrics definitions, and insights sharing. - Perform analysis on key Pixel metrics to identify opportunities for strategy improvement. - Liaise and align cross-functionally with Product Management, Marketing, Sales, and Executive Team to understand key business/product problems, leverage analytics to find solutions, and impact decisions by sharing findings. - Build predictive and causal models to understand user behaviors such as churn, loyalty, and engagement. - Perform regular data engineering to generate datasets that support above efforts. Identify KPIs and perform analysis and experiments to properly evaluate the success of Pixel programs/products. Qualifications Required: - Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience. - 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL). - Advanced degree in a quantitative discipline is preferred. - Experience performing data engineering and programming in Python. - Experience with experiment design and measurement. - Understanding of decision science, with the ability to drive optimal choices based on available information while eliminating bias. - Excellent SQL, data analysis, and problem-solving skills, with the ability to understand statistical modeling techniques as well as machine learning. - Excellent communication and stakeholder management skills, with the ability to interact with other teams and Googles leadership. (Note: The additional details of the company were not explicitly mentioned in the provided job description.)