Data Scientist jobs at Intuit

Our Mission At Palo Alto Networks everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Job Description Your Career As a Staff Data Engineer and Scientist, you will be an integral member of our Customer Analytics team, responsible for shaping the future of our business operations through robust data infrastructure and advanced analytical solutions. This unique hybrid role combines data engineering and applied AI/ML, requiring an entrepreneurial problem-solver who thrives in tackling ambiguous business problems through their deep understanding of the business as well as deep technical expertise. You will act as both a strategic partner as well as builder, developing deep insights , building, developing and curating new datasets, as well as owning the end to end ML/AI model deployment for key customer success initiatives. You will be constantly challenged by tough engineering and design tasks, working in a fast-paced setting to deliver high-quality, impactful work. This is an in office role 3 days/week in our HQ, Santa Clara, CA Your Impact In this versatile role, you will drive impact across both data engineering and data science domains: Data Engineering Foundations Design & Development: Design and implement scalable data architectures and datasets that support the organization's evolving data needs, providing the technical foundations for our analytics team and business users. Data Engineering: Support and implement large datasets in batch/real-time analytical solutions leveraging data transformation technologies. Data Security & Scalability: Enable robust data-level security features and build scalable solutions to support dynamic cloud environments, including financial considerations. Process Improvement: Perform code reviews with peers and make recommendations on how to improve our end-to-end development processes. AI/ML Innovation & Business Impact Develop & Deploy Classical ML Models: Own the end-to-end lifecycle of machine learning projects. You'll build and productionize sophisticated models for critical business areas such as marketing attribution, customer churn prediction, case escalation and other relevant use-cases to post-sales. Optimize AI Agentic Systems: Play a key role in our generative AI initiatives. You will be responsible for characterizing, evaluating, and fine-tuning AI agents-such as conversational systems that allow users to query massive datasets using natural language-to improve their accuracy, efficiency, and reliability. Partner with Business Stakeholders: Act as an internal consultant to our Go-to-Market (GTM), Global Customer Services (GCS) and Product and Finance teams. You'll translate business challenges into data science use-cases, identify opportunities for AI-driven solutions, and present your findings in a clear, actionable manner. Own the Full Data Science Lifecycle: Your responsibilities will cover the entire project workflow, working with the business to understand the problem, charting a path to solve the problem, feature engineering, model selection and training, robust evaluation, deployment, and, in partnership with the data platform team, ongoing monitoring for performance degradation. Qualifications Your Experience 7 plus years experience building and maintain data pipeline both for reporting, analysis and feature engineering. Experience building and optimizing clean, well-structured analytical datasets for business and data science use cases. This includes Implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics. Prior experience working extensively within dynamic cloud environments, specifically Google Cloud Services (GCS) BigQuery and Vertex AI. Prior experience developing dashboards in Tableau/Looker or similar data viz platform. Nice to have: Experience implementing and managing data-level security features to ensure data is protected and access is properly controlled. Expert-level programming skills in Python and familiarity with core data science and machine learning libraries (e.g., Scikit-learn, Pandas, PyTorch/TensorFlow, XGBoost). A solid command of SQL for complex querying and data manipulation. Proven ability to work autonomously, navigate ambiguity, and drive projects from concept to completion. Preferred Qualifications Prior working experience in Customer Analytics space and customer experience use-cases, e.g. Escalation, Risk predictors, Renewals and efficiency of project delivery in Professional Services space. Direct experience with generative AI, including hands-on work with LLMs and frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem. Experience in evaluating and optimizing the performance of AI systems or agents. Demonstrated expertise in specialized modeling domains such as causal inference, time-series analysis. An MS or PhD in a quantitative field like Computer Science, AI, Statistics, or equivalent practical experience or equivalent military experience. Additional Information The Team Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You'll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. We're connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $143000- $231000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We're problem solvers that take risks and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Intuit is harnessing the power of generative AI to transform how customers interact with financial services. We are seeking a **Staff Data Scientist** to partner closely with product, engineering, design, and data science teams to drive insights, define success metrics, and enable data-informed decisions for our AI Agents initiative. This role is critical in ensuring that our AI Agents are intelligent, trustworthy, and impactful for millions of customers worldwide **Responsibilities** **Strategic Impact** + Partner with product management, product development, research and design teams to define the data science roadmap for Intuit AI Agents, ensuring alignment with Intuit's overall AI strategy. + Translate business problems and requirements into analytical approaches and develop measurement framework to help team assess performance of a 0 to 1 product + Define, track, and evolve success metrics for AI Agent performance, customer adoption, and engagement. + Translate complex data into clear, actionable insights that inform product and strategy decisions. **Analysis & Experimentation** + Lead deep-dive analyses of product usage, customer behavior, and AI agent interactions to uncover opportunities for improvement. + Design, implement, and analyze A/B tests and experiments to measure feature effectiveness. + Develop dashboards and self-service tools to democratize data access and empower teams. **Collaboration & Influence** + Influence product roadmaps and strategy by presenting data-driven recommendations to leadership. + Mentor analysts across the org, fostering best practices in analytics and storytelling. **Data Infrastructure & Quality** + Partner with data engineering to ensure reliable pipelines and robust data governance for AI agent data. + Advocate for data quality, consistency, and accessibility across platforms. **Qualifications** + 5-7 years of experience working in product analytics + Highly proficient in A/B testing, SQL, Python and Tableau. Working knowledge in Amplitude or Qliksense is a plus. + Strong analytical and problem-solving skills: able to develop and use structured approaches to identify root causes and recommend resolutions: can present results in meaningful terms + Ability to narrate complex stories with data, and be concise in the insights and how they drive outcomes with leadership and stakeholders. + Ability to manage multiple projects simultaneously to meet objectives and deadlines. + Proactive and inquisitive learner, seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances. + Strong organizational skills, time management, portfolio prioritization experience, and accountability required. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

Apply share * link Copy link * email Email a friend 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: 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.

_corporate_fare_ Google _place_ Cambridge, MA, USA; Mountain View, CA, 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: **Cambridge, MA, USA; Mountain View, CA, USA** . **Minimum qualifications:** + Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. + 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 articulating business questions and using mathematical techniques to arrive at an answer using available data. + Experience translating analysis results into business recommendations. + Ability to select the most appropriate statistical tools for a given data analysis problem, paired with outstanding written and verbal communication. **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 work on defining and developing the system metrics that would let us understand how effective and efficient our systems are, and how they interact with each other (and other Google systems). The Search Platforms Data Scientist (SPDS) team partners with engineering and product teams in Search Platforms on system-level optimizations, and collaborates closely with Search verticals and horizontal teams, Site Reliability Engineering (SREs), Core to understand the impact of system changes on user experience and on Google business. 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 difficult, non-routine analysis problems, applying advanced problem-solving 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 comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both products development and business activity. + Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for, design, and assess improvements to google products. + Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. 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_ New York, NY, USA; Mountain View, CA, USA **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. _info_outline_ XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **New York, NY, USA; Mountain View, CA, USA** . **Minimum qualifications:** + Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience with a Master's degree). **Preferred qualifications:** + Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 12 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). **About the job** To accelerate the growth and market leadership of Enterprise Buying Platforms by answering critical business questions and delivering actionable, data-driven insights that inform product and commercial strategy. The Enterprise Platform Data Science Team provides quantitative support, market understanding and a strategic perspective to our partners throughout the organization, in close collaboration with the Ads and Commerce Finance team.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 $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 aboutbenefits at Google (************************************* . **Responsibilities** + Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide thought leadership through strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business). + 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, investiagtive 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. + Align cross-functional Ads stakeholders (GBO, Product and Finance) on a cross-functional process and discipline for the quantitative attribution of impact on key product initiatives. + Understand of the data sets used by Enterprise Platforms and partner teams, collaborating with Engineering teams to identify and address instrumentation gaps, ensuring accurate data collection for key functionalities. 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; 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:** + Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience with a Master's degree). **Preferred qualifications:** + Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + Experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, and statistical analysis. + Excellent communication skills, with an ability to translate complex analysis into clear insights. **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. Our mission is to transform risk management within the company, making it data-driven and quantitative. We provide investigative expertise, objectivity, to solve some of the largest questions on how to address risks facing the company, enabling our partners to make optimal decisions for protecting Alphabet and its Users. The Risk Analytics and Data Science (RADS) team collaborates with risk and control owners across Google to quantify risk and drive data-based decisions. In this role, you will be working closely with cross-functional stakeholders to understand the business decisions they need to make, the limits of the data available, and how to translate their needs into a modeling framework. You will lead these projects end-to-end, building strong relationships with your partners to be able to understand the problems they need to solve and the data they can provide. You will have the chance to autonomously, or with assistance from your team, delineate and define risk analysis issues. This includes converting available information into actionable data and developing and deploying models and risk metrics. The US base salary range for this full-time position is $132,000-$189,000 + 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 stakeholders in Product Management, Engineering and Operation teams to understand their domain and needs for risk analysis. + Conduct end-to-end model design that includes data gathering and requirements specification, processing, analysis, ongoing deliverables. + Make recommendations based on data and business context to advance risk and data understanding through each engagement. + Communicate results and impact of modeling choices to help stakeholders make optimal decisions. + Apply investigative techniques in novel ways to transform difficult data into useful information. 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; 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: ***************************************

Apply share * link Copy link * email Email a friend 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.

Apply share * link Copy link * email Email a friend 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.

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.

_corporate_fare_ Google _place_ Sunnyvale, CA, USA; New York, NY, USA; +2 more; +1 more **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. _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 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: ***************************************

_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:** + Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience with a Master's degree). **Preferred qualifications:** + Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + Experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, and statistical analysis. + Excellent communication skills, with an ability to translate complex analysis into clear insights. **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. Our mission is to transform risk management within the company, making it data-driven and quantitative. We provide investigative expertise, objectivity, to solve some of the largest questions on how to address risks facing the company, enabling our partners to make optimal decisions for protecting Alphabet and its Users. The Risk Analytics and Data Science (RADS) team collaborates with risk and control owners across Google to quantify risk and drive data-based decisions. In this role, you will be working closely with cross-functional stakeholders to understand the business decisions they need to make, the limits of the data available, and how to translate their needs into a modeling framework. You will lead these projects end-to-end, building strong relationships with your partners to be able to understand the problems they need to solve and the data they can provide. You will have the chance to autonomously, or with assistance from your team, delineate and define risk analysis issues. This includes converting available information into actionable data and developing and deploying models and risk metrics. The US base salary range for this full-time position is $132,000-$189,000 + 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 stakeholders in Product Management, Engineering and Operation teams to understand their domain and needs for risk analysis. + Conduct end-to-end model design that includes data gathering and requirements specification, processing, analysis, ongoing deliverables. + Make recommendations based on data and business context to advance risk and data understanding through each engagement. + Communicate results and impact of modeling choices to help stakeholders make optimal decisions. + Apply investigative techniques in novel ways to transform difficult data into useful information. 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; 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 **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. **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 aboutbenefits 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. 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: ***************************************

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, providing feedback to translate and refine them into tractable analysis, evaluation metrics, or mathematical models. Leverage custom data infrastructure or existing data models using specialized knowledge to design and evaluate models that mathematically express and solve defined problems with limited precedent. Gather information, business goals, priorities, and organizational context around the questions to answer, including 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), formatting, re-structuring, or validating data to ensure quality, and readiness for analysis.

_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, providing feedback to translate and refine them into tractable analysis, evaluation metrics, or mathematical models. + Leverage custom data infrastructure or existing data models using specialized knowledge to design and evaluate models that mathematically express and solve defined problems with limited precedent. + Gather information, business goals, priorities, and organizational context around the questions to answer, including 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), formatting, re-structuring, or validating data to ensure quality, and readiness 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: ***************************************