Google Inc. is hiring: Research Data Scientist, Search Ads in New York
Google Inc., New York, NY, United States
corporate_fare Google place New York, NY, USA
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Qualifications
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Preferred qualifications
5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
About the job
In this role, you will work as part of the Ads Metrics Data Science team, supporting the SAGE (Search Ads and Google Experience) organization in developing Google's ad products, from classic text ads to shopping ads and new products like Discovery ads. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
Apply quantitative knowledge to manage ambiguous problems, developing and applying advanced statistical and optimization models to find solutions.
Design and develop methods and experiments to measure and analyze product quality and user behavior.
Extract, manipulate, and analyze datasets using Python and SQL, with an emphasis on developing scalable data science solutions.
Influence the strategy and direction of flagship products by translating questions into analysis, with a focus on longer-term solutions.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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In Summary: The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits . The salary ranges are determined by role, level, and location . English proficiency is a requirement for all roles unless stated otherwise in the job posting .
En Español: corporate_fare Google lugar Nueva York, NY, EE.UU. Aplicar Qualifications Máster en Estadística, Ciencia de Datos, Matemáticas, Física, Físico, Economía, Investigación Operativa, Ingeniería, un campo cuantitativo relacionado o experiencia práctica equivalente. 3 años de experiencia laboral utilizando análisis para resolver problemas de producto o negocio, codificación (por ejemplo, Python, R, SQL), búsqueda de bases de datos o análisis estadístico, o una licenciatura. Calificaciones preferidas 5 años de experiencias laborales usando analíticas para solucionar problemas de productos o negocios, codificar (p. ej., Python,R, SQL, economía, investigación de operaciones, investigación estadística o ingeniería). Conozca más acerca de los beneficios en Google . Responsabilidades Aplicar conocimientos cuantitativos para gestionar problemas ambiguos, desarrollar y aplicar modelos avanzados de estadística y optimización para encontrar soluciones. Diseñar y desarrollar métodos y experimentos para medir y analizar la calidad del producto y el comportamiento del usuario. Extraer, manipular y analisar conjuntos de datos utilizando Python y SQL, con énfasis en el desarrollo de soluciones escalables de ciencia de datos. Influir en la estrategia y dirección de productos insignia mediante la traducción de preguntas al análisis, centrándose en soluciones a largo plazo. Google se enorgullece de ser un empleador de igualdad de oportunidades y acción afirmativa. Nos comprometemos a construir una fuerza laboral que sea representativa de los usuarios a quienes servimos, creando una cultura de pertenencia, y proporcionando una oportunidad igualitaria sin importar su raza, credo, color, género, orientación sexual, condición laboral/expresión de sexo, discapacidad, edad, información, identidad genética, embarazo, maternidad, matanza o cualquier otra situación legal (incluyendo las condiciones legales relacionadas con el estado de los padres-madreces o antecedentes), protección por motivos sexuales, estatus jurídicos u otros requisitos relacionados con la ley de nacimiento. Consulte también la Política de EEO de Google , Conozca sus derechos: discriminación en el lugar de trabajo es ilegal . Pertenece a Google y Cómo contratamos.
Apply
Qualifications
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Preferred qualifications
5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
About the job
In this role, you will work as part of the Ads Metrics Data Science team, supporting the SAGE (Search Ads and Google Experience) organization in developing Google's ad products, from classic text ads to shopping ads and new products like Discovery ads. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
Apply quantitative knowledge to manage ambiguous problems, developing and applying advanced statistical and optimization models to find solutions.
Design and develop methods and experiments to measure and analyze product quality and user behavior.
Extract, manipulate, and analyze datasets using Python and SQL, with an emphasis on developing scalable data science solutions.
Influence the strategy and direction of flagship products by translating questions into analysis, with a focus on longer-term solutions.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
#J-18808-Ljbffr
In Summary: The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits . The salary ranges are determined by role, level, and location . English proficiency is a requirement for all roles unless stated otherwise in the job posting .
En Español: corporate_fare Google lugar Nueva York, NY, EE.UU. Aplicar Qualifications Máster en Estadística, Ciencia de Datos, Matemáticas, Física, Físico, Economía, Investigación Operativa, Ingeniería, un campo cuantitativo relacionado o experiencia práctica equivalente. 3 años de experiencia laboral utilizando análisis para resolver problemas de producto o negocio, codificación (por ejemplo, Python, R, SQL), búsqueda de bases de datos o análisis estadístico, o una licenciatura. Calificaciones preferidas 5 años de experiencias laborales usando analíticas para solucionar problemas de productos o negocios, codificar (p. ej., Python,R, SQL, economía, investigación de operaciones, investigación estadística o ingeniería). Conozca más acerca de los beneficios en Google . Responsabilidades Aplicar conocimientos cuantitativos para gestionar problemas ambiguos, desarrollar y aplicar modelos avanzados de estadística y optimización para encontrar soluciones. Diseñar y desarrollar métodos y experimentos para medir y analizar la calidad del producto y el comportamiento del usuario. Extraer, manipular y analisar conjuntos de datos utilizando Python y SQL, con énfasis en el desarrollo de soluciones escalables de ciencia de datos. Influir en la estrategia y dirección de productos insignia mediante la traducción de preguntas al análisis, centrándose en soluciones a largo plazo. Google se enorgullece de ser un empleador de igualdad de oportunidades y acción afirmativa. Nos comprometemos a construir una fuerza laboral que sea representativa de los usuarios a quienes servimos, creando una cultura de pertenencia, y proporcionando una oportunidad igualitaria sin importar su raza, credo, color, género, orientación sexual, condición laboral/expresión de sexo, discapacidad, edad, información, identidad genética, embarazo, maternidad, matanza o cualquier otra situación legal (incluyendo las condiciones legales relacionadas con el estado de los padres-madreces o antecedentes), protección por motivos sexuales, estatus jurídicos u otros requisitos relacionados con la ley de nacimiento. Consulte también la Política de EEO de Google , Conozca sus derechos: discriminación en el lugar de trabajo es ilegal . Pertenece a Google y Cómo contratamos.