Data Analyst jobs at Hitachi Vantara

_corporate_fare_ Google _place_ Mountain View, CA, USA; New York, NY, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mountain View, CA, USA; New York, NY, USA** . **Minimum qualifications:** + Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience. + 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 3 years of work experience with a PhD degree. **Preferred qualifications:** + 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree + Experience working on 0 to 1 products. + Experience working with eval data. **About the job** In this role, you will evaluate and improve the Google Search user experience. The team works on problems at the frontiers of generative AI evaluation, and collaborates cross-functionally. You will use available data sources to bring analytical and statistical methods to the challenges of measuring quality, developing metrics, and improving training data for model development. As a key member of the team, you will work with engineers and researchers to analyze/interpret data, develop metrics, and integrate new methodologies into existing evaluation systems. The Core Ranking DS team develops and supports evaluation methodology and metrics used to guide and develop Search Quality models and iteration, as well as the Search product as a whole. You will work with engineers, researchers, and product managers within and outside of Search to bring helpful and trustworthy content to Search users. The US base salary range for this full-time position is $166,000-$244,000 + 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 aboutbenefits at Google (************************************* . **Responsibilities** + Work with data sets, solve non-routine analysis problems, apply analytical methods as needed, conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. + Build and prototype analysis pipelines iteratively to provide insights at scale, develop knowledge of Google data structures and metrics, advocating for changes where needed for both products development and business strategy. + Interact cross-functionally with a wide variety of people and teams, and work with engineers to identify opportunities for design, and assess improvements to Google products. + Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. + Research and develop analysis methods to improve the quality of Google Search. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . 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 (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA. Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience. 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 3 years of work experience with a PhD degree. Preferred qualifications: 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree Experience working on 0 to 1 products. Experience working with eval data. About the job In this role, you will evaluate and improve the Google Search user experience. The team works on problems at the frontiers of generative AI evaluation, and collaborates cross-functionally. You will use available data sources to bring analytical and statistical methods to the challenges of measuring quality, developing metrics, and improving training data for model development. As a key member of the team, you will work with engineers and researchers to analyze/interpret data, develop metrics, and integrate new methodologies into existing evaluation systems. The Core Ranking DS team develops and supports evaluation methodology and metrics used to guide and develop Search Quality models and iteration, as well as the Search product as a whole. You will work with engineers, researchers, and product managers within and outside of Search to bring helpful and trustworthy content to Search users. The US base salary range for this full-time position is $166,000-$244,000 + 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 Work with data sets, solve non-routine analysis problems, apply analytical methods as needed, conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. Build and prototype analysis pipelines iteratively to provide insights at scale, develop knowledge of Google data structures and metrics, advocating for changes where needed for both products development and business strategy. Interact cross-functionally with a wide variety of people and teams, and work with engineers to identify opportunities for design, and assess improvements to Google products. Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. Research and develop analysis methods to improve the quality of Google Search.

info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA. Minimum qualifications: PhD in a quantitative discipline (e.g., Statistics, Biostatistics, Computer Science, Applied Mathematics, Operations Research, Economics) or another discipline involving experimental design and quantitative analysis of data. 1 year of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree. Experience in one or more of the following areas: coding (e.g., C/C++, Python, Java), databases and querying (e.g., SQL, MySQL, MapReduce, Hadoop), statistical analysis (e.g., R, Stata, SPSS, SAS), or hypothesis testing. Preferred qualifications: Experience with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators). Experience with statistical programming languages, controlled experimentation, causal inference, and statistical data analysis (e.g., linear models, multivariate analysis, stochastic models, sampling methods, etc.). Applied experience with machine learning on large datasets. Ability to start full-time role in 2026. About the job Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, data scientists not only revolutionize search, they routinely work on massive scalability, storage solutions, large-scale applications, and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another. As a Data Scientist, you will evaluate and improve Google's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring scientific and statistical methods to the challenges of product creation, development, and improvement with an appreciation for the behaviors of the end user. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. 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 Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, restructure, or validate data to ensure quality and review the dataset to ensure it is ready for analysis.

info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Cambridge, MA, USA. Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 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. Experience with infrastructure innovation and experimentation methodology, with a willingness to dig into complicated codebases to understand how Search systems work and drive fundamental changes. Experience using AI to assist with experiment design and analysis. Excellent technical skills on meta-analysis, experiment design and analysis, causal inference, etc. About the job Search Platform Data Science team works on understanding and measuring Search systems, including but not limited to Experiment, Reliability, Velocity, Latency, Capacity, Content, Logs Quality and Search Infrastructure. In this role, you will partner closely with the Search Experiments Infrastructure team to support fast and measurable Search innovation with experimentation infrastructure, methodology, and tooling. 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 Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Use custom data infrastructure or existing data models as appropriate, using specialized expertise. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Separately format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA. Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 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 Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, data scientists not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another. As a Data Scientist, you will evaluate and improve Google's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring scientific and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of the end user. 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 Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

_corporate_fare_ Google _place_ Sunnyvale, CA, USA; San Francisco, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Sunnyvale, CA, USA; San Francisco, CA, USA** . **Minimum qualifications:** + Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. + 4 years of experience in a data science role using data to influence business or product decisions. + Experience analyzing data from various sources such as product instrumentation, customer support systems, and internal operational tools. + Experience with SQL, Python or R programming including advanced data analysis, statistical modeling, and data visualization. **Preferred qualifications:** + PhD degree in a relevant quantitative field. + Experience in causal inference techniques to measure the true impact of business actions. + Experience in Customer Support or Support-adjacent roles. + Ability to work cross-functionally and communicate technical findings to non-technical audiences. + Excellent product intuition and business acumen, with experience influencing both product and business strategy. **About the job** In this role, you will be using data to solve problems and you will be a key partner to stakeholders across product, operations, and engineering, helping to drive our strategy by analyzing the entire customer journey. You will address a wide range of issues, from optimizing product features and user behavior to analyzing the customer support experience and streamlining internal processes. You will use your analytical and statistical expertise to make data-informed decisions across the board. The US base salary range for this full-time position is $166,000-$244,000 + 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 aboutbenefits at Google (************************************* . **Responsibilities** + Partner with product, operations, and engineering stakeholders to prioritize opportunities for improvement; collaborate with partner teams to define data requirements and build foundational datasets for key business and product initiatives. + Drive and independently scope and analysis projects from inception to completion, defining success metrics and managing stakeholder communication along the way; design, execute, and analyze A/B experiments on product features, internal tools, and operational workflows to measure their impact. + Apply causal inference and advanced statistical modeling to measure the impact of critical product and business initiatives and understand their key drivers. + Manage end-to-end analyses of the user journey to identify friction points and opportunities; translate analytical findings into actionable insights and narratives for various stakeholders. + Perform opportunity sizing for new product and business initiatives to inform the roadmap and resource allocation. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . 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 (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ Sunnyvale, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. **Minimum qualifications:** + Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. + 5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. + 3 years of experience developing/deploying machine learning and time series forecasting models using statistical software (Python, R). **Preferred qualifications:** + PhD in Operations Research, Industrial Engineering, Statistics or related field. + 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. + 4 years of work experience (e.g., as a data scientist), including applying advanced analytics to planning and infrastructure problems. + Experience designing and building machine learning and statistical forecasting models. + Excellent problem-framing, problem-solving, project management, customer service, and team collaboration skills **About the job** In this role, you will apply operations research and statistical methods to solve challenges for both Google's internal services and Google Cloud Platform. You will work broadly across Google's Platforms Engineering, Systems Infrastructure, and Site Reliability Engineering teams to optimize our deployment of resources and drive innovation in our software stack, allowing for efficient use of resources. You will think critically and strategically about Google's cloud as a technology, a business, and as an operation. You will be discussing total cost of management with hardware engineers, resource optimization with software engineers, or reviewing fleet plans and deployment policies with operations executives, all based upon the analytical models that you will be developing. You will contribute to the development of critical forecasting and capacity planning tools for Google storage product, as well as other resource efficiency initiatives. Through this work you will not only help Google run as efficiently as possible, but you will also help us to advance the state of the art in statistical forecasting for resource planning. The US base salary range for this full-time position is $166,000-$244,000 + 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 aboutbenefits at Google (************************************* . **Responsibilities** + Develop, maintain, support, and enhance forecasting and capacity planning tools for centralized storage product planning. + Lead projects with analysis and modeling, drawing from multiple analytical methods to choose the right tool and right level of complexity appropriate for the business challenges. + Engage broadly with the organization to identify, prioritize, frame, and structure complex and ambiguous challenges, where advanced analytics projects or tools can have the biggest impact. + Identify and communicate the challenges and opportunities that the group should be working on. Help define the analytical direction and influence the direction of the associated engineering and infrastructure work. + Articulate business questions and use mathematical techniques to arrive at an answer using data. Translate analysis results into business recommendations. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . 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 (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Apply share * link Copy link * email Email a friend Minimum qualifications: * Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. * 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. * 2 years of experience working across data or AI/ML domains. Preferred qualifications: * 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree. * Experience with human eval data. About the job As a Staff Data Scientist, you will become a key innovation driver within our AI Data organization. You will use your expertise in the full lifecycle of data for large-scale AI models (specifically LLMs): from collection and distillation to precision curation and refinement. In this role, you will be instrumental in conceiving, architecting, and deploying novel data solutions that directly enhance AI performance. Your ability to translate complex, ambiguous data challenges into strategic opportunities and quantifiable business value will be critical as you collaborate with executive engineering and product stakeholders.The US base salary range for this full-time position is $197,000-$291,000 + 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 * Solve complex and ambiguous data science problems with particular focus on model evaluation and fine-tuning data for Large Language Models (LLMs). * Design and deploy novel data acquisition and quality improvement techniques for foundational models. * Utilize AI models and tools as integral components for evaluating, synthesizing, and understanding complex datasets. * Act as a critical technical partner, collaborating closely with Research, Engineering, and Product teams (Cloud AI Data and Google DeepMind). * Develop new methodologies to improve the performance of Google's models through better training data, including data acquisition, and insights.

info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; New York, NY, USA; Kirkland, WA, USA. Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Preferred qualifications: 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree. About the job Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users. At Google, data scientists not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications, and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another. In this role, you will evaluate and improve Google's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. You will bring scientific accuracy and statistical methods to the challenges of product creation, development, and improvement with an appreciation for the behaviors of the end user. As a Staff Data Scientist on the Applied AI team, you will be a key player in shaping the future of AI-driven products at Google. You will be responsible for conducting research, developing novel methodologies, and applying your expertise to solve complex business problems. You will collaborate with a team of engineers and scientists to push the boundaries of what's possible with AI. Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous. The US base salary range for this full-time position is $197,000-$291,000 + 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 Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

info_outline XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; San Francisco, CA, USA. Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 4 years of experience in a data science role using data to influence business or product decisions. Experience analyzing data from various sources such as product instrumentation, customer support systems, and internal operational tools. Experience with SQL, Python or R programming including advanced data analysis, statistical modeling, and data visualization. Preferred qualifications: PhD degree in a relevant quantitative field. Experience in causal inference techniques to measure the true impact of business actions. Experience in Customer Support or Support-adjacent roles. Ability to work cross-functionally and communicate technical findings to non-technical audiences. Excellent product intuition and business acumen, with experience influencing both product and business strategy. About the job In this role, you will be using data to solve problems and you will be a key partner to stakeholders across product, operations, and engineering, helping to drive our strategy by analyzing the entire customer journey. You will address a wide range of issues, from optimizing product features and user behavior to analyzing the customer support experience and streamlining internal processes. You will use your analytical and statistical expertise to make data-informed decisions across the board. The US base salary range for this full-time position is $166,000-$244,000 + 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 Partner with product, operations, and engineering stakeholders to prioritize opportunities for improvement; collaborate with partner teams to define data requirements and build foundational datasets for key business and product initiatives. Drive and independently scope and analysis projects from inception to completion, defining success metrics and managing stakeholder communication along the way; design, execute, and analyze A/B experiments on product features, internal tools, and operational workflows to measure their impact. Apply causal inference and advanced statistical modeling to measure the impact of critical product and business initiatives and understand their key drivers. Manage end-to-end analyses of the user journey to identify friction points and opportunities; translate analytical findings into actionable insights and narratives for various stakeholders. Perform opportunity sizing for new product and business initiatives to inform the roadmap and resource allocation.

Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. 3 years of experience developing/deploying machine learning and time series forecasting models using statistical software (Python, R). Preferred qualifications: PhD in Operations Research, Industrial Engineering, Statistics or related field. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. 4 years of work experience (e.g., as a data scientist), including applying advanced analytics to planning and infrastructure problems. Experience designing and building machine learning and statistical forecasting models. Excellent problem-framing, problem-solving, project management, customer service, and team collaboration skills About the job In this role, you will apply operations research and statistical methods to solve challenges for both Google's internal services and Google Cloud Platform. You will work broadly across Google's Platforms Engineering, Systems Infrastructure, and Site Reliability Engineering teams to optimize our deployment of resources and drive innovation in our software stack, allowing for efficient use of resources. You will think critically and strategically about Google's cloud as a technology, a business, and as an operation. You will be discussing total cost of management with hardware engineers, resource optimization with software engineers, or reviewing fleet plans and deployment policies with operations executives, all based upon the analytical models that you will be developing. You will contribute to the development of critical forecasting and capacity planning tools for Google storage product, as well as other resource efficiency initiatives. Through this work you will not only help Google run as efficiently as possible, but you will also help us to advance the state of the art in statistical forecasting for resource planning. The US base salary range for this full-time position is $166,000-$244,000 + 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 Develop, maintain, support, and enhance forecasting and capacity planning tools for centralized storage product planning. Lead projects with analysis and modeling, drawing from multiple analytical methods to choose the right tool and right level of complexity appropriate for the business challenges. Engage broadly with the organization to identify, prioritize, frame, and structure complex and ambiguous challenges, where advanced analytics projects or tools can have the biggest impact. Identify and communicate the challenges and opportunities that the group should be working on. Help define the analytical direction and influence the direction of the associated engineering and infrastructure work. Articulate business questions and use mathematical techniques to arrive at an answer using data. Translate analysis results into business recommendations.

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience and a Master's degree). Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). About the job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. We're looking for a creative data scientist to join a small, agile team developing new AI products and infrastructure. As part of this team, you will leverage your expertise to drive decision-making with data including making recommendations, measuring return on investment, and identifying new opportunities to pursue. Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous. The US base salary range for this full-time position is $183,000-$271,000 + 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 Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide analytical thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business). Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, implementation of analytical/statistical models, and presentation to stakeholders. Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, analytical and product-specific expertise. Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and help define operational goals and objectives. Directly or indirectly oversee the contributions of others and develop colleagues' capabilities in the area of specialization.

_corporate_fare_ YouTube _place_ San Bruno, CA, USA **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. **Minimum qualifications:** + Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. + 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. **Preferred qualifications:** + 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree. + Experience with Classifiers. **About the job** At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together. The US base salary range for this full-time position is $197,000-$291,000 + 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 aboutbenefits at Google (************************************* . **Responsibilities** + Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. + Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. + Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. + Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . 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 (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Apply share * link Copy link * email Email a friend Minimum qualifications: * Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. * 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Preferred qualifications: * 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree. * Experience with Classifiers. About the job At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together. The US base salary range for this full-time position is $197,000-$291,000 + 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 * Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. * Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. * Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. * Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Preferred qualifications: 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree. Experience with Classifiers. About the job At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together. The US base salary range for this full-time position is $197,000-$291,000 + 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 Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

Apply share * link Copy link * email Email a friend info_outline XThe application window will be open until at least December 2, 2025. This opportunity will remain online based on business needs which may be before or after the specified date. This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; New York, NY, USA; Los Angeles, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Washington D.C., DC, USA. Minimum qualifications: * Bachelor's degree or equivalent practical experience. * 4 years of experience in talent/leadership development, HR consulting, or HR. * 2 years of experience in scalable program design/management/delivery and change management. Preferred qualifications: * MBA degree or equivalent practical experience. * Experience in demonstrating business acumen within the Cloud Enterprise business and Cloud Sales domain, and managing projects to deliver successful, impact-driven outcomes in a global environment. * Experience querying datasets in SQL, Python, or R. * Experiencing drawing insights from data and using them to influence executive stakeholders. * Experience demonstrating consulting and problem-solving skills with the ability to successfully influence stakeholders at all levels. * Ability to experiment with and apply emerging AI tools to enhance productivity, streamline workflows, and improve operational efficiency. About the job People Operations strives to revolutionize human resources the same way that Google has revolutionized search. We are helping to find, grow and keep the remarkable assemblage of talent who are our Googlers. You'll be an advocate of Google's culture and values, partnering with our business leaders to help them build their organizations and make sure all people decisions are based on data. Whether coaching our clients on how to lead their teams, navigating and resolving employee relations issues or managing programs that help develop our Googlers, you are exceptionally focused on putting them first, and being as clear and transparent as possible to help Googlers understand how people decisions get made. The US base salary range for this full-time position is $113,000-$162,000 + 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 * Develop consultative partnerships with Google Recruiting Leadership, HR, and other stakeholders to advise on external talent market issues and opportunities. * Leverage advanced problem-solving and research skills to diagnose talent problems, design custom research, and present actionable, data-driven findings to influence key talent strategies. * Design and implement results-driven global research, including intelligence and labor market analysis, to highlight trends and talent dynamics across different geographies and demographics. * Manage, improve, and design tools to scale the delivery of talent insights across People Operations (POps) and the broader Google organization. * Ensure regular, ongoing communication and co-ordination on all research activities across different functions and global regions.

info_outline XThe application window will be open until at least December 2, 2025. This opportunity will remain online based on business needs which may be before or after the specified date. This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; New York, NY, USA; Los Angeles, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Washington D.C., DC, USA. Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience in talent/leadership development, HR consulting, or HR. 2 years of experience in scalable program design/management/delivery and change management. Preferred qualifications: MBA degree or equivalent practical experience. Experience in demonstrating business acumen within the Cloud Enterprise business and Cloud Sales domain, and managing projects to deliver successful, impact-driven outcomes in a global environment. Experience querying datasets in SQL, Python, or R. Experiencing drawing insights from data and using them to influence executive stakeholders. Experience demonstrating consulting and problem-solving skills with the ability to successfully influence stakeholders at all levels. Ability to experiment with and apply emerging AI tools to enhance productivity, streamline workflows, and improve operational efficiency. About the job People Operations strives to revolutionize human resources the same way that Google has revolutionized search. We are helping to find, grow and keep the remarkable assemblage of talent who are our Googlers. You'll be an advocate of Google's culture and values, partnering with our business leaders to help them build their organizations and make sure all people decisions are based on data. Whether coaching our clients on how to lead their teams, navigating and resolving employee relations issues or managing programs that help develop our Googlers, you are exceptionally focused on putting them first, and being as clear and transparent as possible to help Googlers understand how people decisions get made. The US base salary range for this full-time position is $113,000-$162,000 + 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 Develop consultative partnerships with Google Recruiting Leadership, HR, and other stakeholders to advise on external talent market issues and opportunities. Leverage advanced problem-solving and research skills to diagnose talent problems, design custom research, and present actionable, data-driven findings to influence key talent strategies. Design and implement results-driven global research, including intelligence and labor market analysis, to highlight trends and talent dynamics across different geographies and demographics. Manage, improve, and design tools to scale the delivery of talent insights across People Operations (POps) and the broader Google organization. Ensure regular, ongoing communication and co-ordination on all research activities across different functions and global regions.

info_outline XThe application window will be open until at least November 21, 2025. This opportunity will remain online based on business needs which may be before or after the specified date. This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; New York, NY, USA; Los Angeles, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Washington D.C., DC, USA. Minimum qualifications: Bachelor's degree or equivalent practical experience. 6 years of experience in talent/leadership development, HR consulting, or HR. 4 years of experience in scalable program design/management/delivery and change management. Preferred qualifications: MBA degree or equivalent practical experience. Experience in demonstrating business acumen within the Cloud Enterprise business and Cloud Sales domain, and managing projects to deliver successful, impact-driven outcomes in a global environment. Experience querying datasets in SQL, Python, or R. Experiencing drawing insights from data and using them to influence executive stakeholders. Experience demonstrating consulting and problem-solving skills with the ability to successfully influence stakeholders at all levels. Ability to experiment with and apply emerging AI tools to enhance productivity, streamline workflows, and improve operational efficiency. About the job People Operations strives to revolutionize human resources the same way that Google has revolutionized search. We are helping to find, grow and keep the remarkable assemblage of talent who are our Googlers. You'll be an advocate of Google's culture and values, partnering with our business leaders to help them build their organizations and make sure all people decisions are based on data. Whether coaching our clients on how to lead their teams, navigating and resolving employee relations issues or managing programs that help develop our Googlers, you are exceptionally focused on putting them first, and being as clear and transparent as possible to help Googlers understand how people decisions get made.The US base salary range for this full-time position is $137,000-$201,000 + 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 Develop consultative partnerships with Google Recruiting Leadership, HR, and other stakeholders to advise on external talent market issues and opportunities. Leverage advanced problem-solving and research skills to diagnose talent problems, design custom research, and present actionable, data-driven findings to influence key talent strategies. Design and implement results-driven global research, including intelligence and labor market analysis, to highlight trends and talent dynamics across different geographies and demographics. Manage, improve, and design tools to scale the delivery of talent insights across People Operations (POps) and the broader Google organization. Ensure regular, ongoing communication and co-ordination on all research activities across different functions and global regions.

_corporate_fare_ Google _place_ Mountain View, CA, USA; Ann Arbor, MI, USA; +10 more; +9 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XThe application window will be open until at least November 21, 2025. This opportunity will remain online based on business needs which may be before or after the specified date. This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mountain View, CA, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; New York, NY, USA; Los Angeles, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Washington D.C., DC, USA** . **Minimum qualifications:** + Bachelor's degree or equivalent practical experience. + 6 years of experience in talent/leadership development, HR consulting, or HR. + 4 years of experience in scalable program design/management/delivery and change management. **Preferred qualifications:** + MBA degree or equivalent practical experience. + Experience in demonstrating business acumen within the Cloud Enterprise business and Cloud Sales domain, and managing projects to deliver successful, impact-driven outcomes in a global environment. + Experience querying datasets in SQL, Python, or R. + Experiencing drawing insights from data and using them to influence executive stakeholders. + Experience demonstrating consulting and problem-solving skills with the ability to successfully influence stakeholders at all levels. + Ability to experiment with and apply emerging AI tools to enhance productivity, streamline workflows, and improve operational efficiency. **About the job** People Operations strives to revolutionize human resources the same way that Google has revolutionized search. We are helping to find, grow and keep the remarkable assemblage of talent who are our Googlers. You'll be an advocate of Google's culture and values, partnering with our business leaders to help them build their organizations and make sure all people decisions are based on data. Whether coaching our clients on how to lead their teams, navigating and resolving employee relations issues or managing programs that help develop our Googlers, you are exceptionally focused on putting them first, and being as clear and transparent as possible to help Googlers understand how people decisions get made.The US base salary range for this full-time position is $137,000-$201,000 + 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 aboutbenefits at Google (************************************* . **Responsibilities** + Develop consultative partnerships with Google Recruiting Leadership, HR, and other stakeholders to advise on external talent market issues and opportunities. + Leverage advanced problem-solving and research skills to diagnose talent problems, design custom research, and present actionable, data-driven findings to influence key talent strategies. + Design and implement results-driven global research, including intelligence and labor market analysis, to highlight trends and talent dynamics across different geographies and demographics. + Manage, improve, and design tools to scale the delivery of talent insights across People Operations (POps) and the broader Google organization. + Ensure regular, ongoing communication and co-ordination on all research activities across different functions and global regions. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . 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 (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************