Staff Data Scientist, Products

As a Data Scientist at Google, you will play a crucial role in providing quantitative support, market understanding, and strategic perspective to partners throughout the organization. You will use your expertise in statistical data analysis, modeling, and experimentation to help your colleagues make informed decisions. Your responsibilities will include leading a team of data scientists, defining data science ideas and roadmaps, overseeing projects, and maintaining knowledge in statistical modeling and machine learning. Role Overview: You will partner with teams across the company to apply Google's best Data Science techniques to enterprise opportunities. Your role will involve collaborating with Research, Core Enterprise ML, and ML Infrastructure teams to build solutions for enterprise. Key Responsibilities: - Lead and inspire a team of data scientists, provide technical guidance and career development support, and delegate and conduct performance reviews. - Define the data science idea and roadmap, prioritize initiatives with measurable business impact, and stay current with industry trends and emerging technologies. - Oversee data science projects, ensuring timely delivery and quality, define project scope, objectives, and success metrics, and manage project risks and resource allocation. - Maintain knowledge in statistical modeling, machine learning, and data mining, contribute to the development of advanced analytics solutions, and evaluate and implement new tools and technologies. - Build cross-functional relationships, communicate technical concepts clearly, present data-driven insights to senior management, and collaborate with engineering, product, and business teams. Qualifications Required: - Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience. - 7 years of experience with statistical data analysis, modeling, experimentation, causal inference, data mining, querying, and managing analytical projects with programming in SQL, Python, or R. - 7 years of experience developing and managing metrics or evaluating programs/products. - 5 years of experience as a people manager within a technical leadership role. - Preferred qualifications include a Master's degree or PhD in machine learning, statistics, a related field, or equivalent practical experience. - Experience with the full ML product lifecycle, from ideation to exploration, productionization, and long term support. - Experience building production ML pipelines. - Experience applying ML and advanced analytics solutions to enterprise operations teams. (Note: The additional details of the company were not present in the provided job description.) As a Data Scientist at Google, you will play a crucial role in providing quantitative support, market understanding, and strategic perspective to partners throughout the organization. You will use your expertise in statistical data analysis, modeling, and experimentation to help your colleagues make informed decisions. Your responsibilities will include leading a team of data scientists, defining data science ideas and roadmaps, overseeing projects, and maintaining knowledge in statistical modeling and machine learning. Role Overview: You will partner with teams across the company to apply Google's best Data Science techniques to enterprise opportunities. Your role will involve collaborating with Research, Core Enterprise ML, and ML Infrastructure teams to build solutions for enterprise. Key Responsibilities: - Lead and inspire a team of data scientists, provide technical guidance and career development support, and delegate and conduct performance reviews. - Define the data science idea and roadmap, prioritize initiatives with measurable business impact, and stay current with industry trends and emerging technologies. - Oversee data science projects, ensuring timely delivery and quality, define project scope, objectives, and success metrics, and manage project risks and resource allocation. - Maintain knowledge in statistical modeling, machine learning, and data mining, contribute to the development of advanced analytics solutions, and evaluate and implement new tools and technologies. - Build cross-functional relationships, communicate technical concepts clearly, present data-driven insights to senior management, and collaborate with engineering, product, and business teams. Qualifications Required: - Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience. - 7 years of experience with statistical data analysis, modeling, experimentation, causal inference, data mining, querying, and managing analytical projects with programming in SQL, Python, or R. - 7 years of experience developing and managing metrics or evaluating programs/products. - 5 years of experience as a people manager within a technical leadership role. - Pre