Product Data Scientist, Enterprise Buying Platforms

Job Description: As a Data Scientist at Google, you will play a crucial role in serving Google's worldwide user base of more than a billion people. You will provide quantitative support, market understanding, and a strategic perspective to partners across the organization. Your expertise in analytics will enable you to assist partners in making data-driven decisions, ultimately contributing to the success of the company. Key Responsibilities: - Execute defined, moderately difficult investigative tasks under guidance from the manager or executive team member/TL. - Manage workload to reflect team priorities, adhere to timelines, and effectively communicate any slippage. - Collaborate with Product Managers, Engineers, and Research Scientists to define and track key performance indicators (KPIs) for Google Ads measurement products. - Conduct in-depth analysis of large datasets to identify trends, patterns, and insights that inform product strategy and development. - Communicate data and analysis clearly and concisely to various stakeholders, including product leadership, engineering teams, and business partners. Qualifications Required: - Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. - 2 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or work experience with a Master's degree). Note: No additional details of the company were provided in the job description. Job Description: As a Data Scientist at Google, you will play a crucial role in serving Google's worldwide user base of more than a billion people. You will provide quantitative support, market understanding, and a strategic perspective to partners across the organization. Your expertise in analytics will enable you to assist partners in making data-driven decisions, ultimately contributing to the success of the company. Key Responsibilities: - Execute defined, moderately difficult investigative tasks under guidance from the manager or executive team member/TL. - Manage workload to reflect team priorities, adhere to timelines, and effectively communicate any slippage. - Collaborate with Product Managers, Engineers, and Research Scientists to define and track key performance indicators (KPIs) for Google Ads measurement products. - Conduct in-depth analysis of large datasets to identify trends, patterns, and insights that inform product strategy and development. - Communicate data and analysis clearly and concisely to various stakeholders, including product leadership, engineering teams, and business partners. Qualifications Required: - Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. - 2 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or work experience with a Master's degree). Note: No additional details of the company were provided in the job description.