Senior Product Data Scientist

Role Overview: As a Senior Product Data Scientist at AIM, you will have the opportunity to help serve Google's worldwide user base by providing quantitative support, market understanding, and a strategic perspective to partners throughout the organization. Your role will involve utilizing your data analysis skills to provide analytical insights and recommendations to influence long-term product development strategies. You will collaborate with cross-functional teams to define and track key performance indicators for Google Ads measurement products and conduct in-depth analysis of large datasets to inform product strategy and development. Communication of complex data and analysis to various stakeholders will be a key aspect of your role. Key Responsibilities: - Perform analysis using relevant tools such as SQL, R, and Python - Utilize specialized knowledge to work with custom data infrastructure or existing data models - Provide analytical insights and recommendations to influence the development of long-term product development strategies - Collaborate with Product Managers, Engineers, and Research Scientists to define and track key performance indicators for Google Ads measurement products - Conduct in-depth analysis of large datasets to identify trends, patterns, and insights - Communicate complex data and analysis in a clear and concise manner to various stakeholders Qualifications Required: - Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field - 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of work experience with a Master's degree) Preferred Qualifications: - Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field - 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (Note: Additional details about the company were not provided in the job description) Role Overview: As a Senior Product Data Scientist at AIM, you will have the opportunity to help serve Google's worldwide user base by providing quantitative support, market understanding, and a strategic perspective to partners throughout the organization. Your role will involve utilizing your data analysis skills to provide analytical insights and recommendations to influence long-term product development strategies. You will collaborate with cross-functional teams to define and track key performance indicators for Google Ads measurement products and conduct in-depth analysis of large datasets to inform product strategy and development. Communication of complex data and analysis to various stakeholders will be a key aspect of your role. Key Responsibilities: - Perform analysis using relevant tools such as SQL, R, and Python - Utilize specialized knowledge to work with custom data infrastructure or existing data models - Provide analytical insights and recommendations to influence the development of long-term product development strategies - Collaborate with Product Managers, Engineers, and Research Scientists to define and track key performance indicators for Google Ads measurement products - Conduct in-depth analysis of large datasets to identify trends, patterns, and insights - Communicate complex data and analysis in a clear and concise manner to various stakeholders Qualifications Required: - Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field - 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of work experience with a Master's degree) Preferred Qualifications: - Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field - 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (Note: Additional details about the company were not provided in the job description)