Senior Data Scientist jobs at Adobe - 205 jobs

A leading technology firm in Mountain View, CA, is seeking a Senior Research Staff Data Scientist to innovate in AI methodologies, drive research across teams, and shape strategic decisions. This role requires a Master's degree and deep expertise in analytics, along with at least 10 years of relevant experience. A strong background in coding and statistical analysis is essential. The position offers a competitive salary ranging from $248,000 to $349,000, alongside bonuses and equity. Join a dynamic team pushing the boundaries of data science. #J-18808-Ljbffr

A leading technology company based in Mountain View, California, seeks a Senior Research Data Scientist to enhance quality and manufacturing through data-driven decision-making. This role involves collaborating with stakeholders to translate business questions into actionable analysis, employing advanced statistical tools and coding skills in Python, R, and SQL. The position offers a competitive salary range of $166,000 - $244,000, along with bonuses and equity benefits. #J-18808-Ljbffr

A leading technology company is looking for a Senior Product Data Scientist to improve YouTube growth metrics. The role requires expertise in data analysis using SQL, Python, or R, with a bachelor's degree in a quantitative field. Responsibilities include performing rigorous analyses and providing actionable insights to guide product development. This full-time position offers a base salary range of $156,000-$229,000 along with bonuses and benefits. #J-18808-Ljbffr

corporate_fare Google place San Jose, CA, USA Apply Qualifications Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 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. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). Experience working autonomously, acting as a product owner to deliver results for global teams. Experience in an inter-disciplinary/cross-functional field with an interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation. Ability to translate analysis results into business recommendations, and excellent communication skills. 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. The Android and Business Communication (ABC) Data Science (DS) team's mission is to Power ABC products decisions with Data Science. The team solves complex business problems using quantitative methods to influence organizational strategy. The ABC DS team provides investigative leadership across three key product pillars: Consumer Messaging (Google Messages and Rich Communication Services (RCS), Messages business generation and Protection, and Calling including Telephony. Through our insights, we empower product teams to deliver high-quality, safe, and seamless communication experiences for billions of Android users. In this role, you will help serve Google Messages worldwide user base of over 2 billion people. You will provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. You will take the initiative as a data scientist, and apply your investigative and statistical toolkit to drive organizational and strategic decisions. Android is Google's mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world. The US base salary range for this full-time position is $156,000-$229,000 + 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 Design and implement methodologies, dashboards and presentations partnering with stakeholders across multiple functions and locations. Provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. Serve as an analytics expert for your partners, using numbers to help them make better decisions. Weave stories with meaningful insight from data, making critical recommendations for your fellow Googlers in Engineering and Product Management. Use your investigative and statistical toolkit to tally up the numbers and communicate your findings to a team leader. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

A leading technology company in San Jose, CA, is seeking a Senior Product Data Scientist to provide analytics expertise for global product teams. In this role, you'll use your statistical toolkit to inform decisions for millions of users and facilitate insights and recommendations across functions. You will collaborate with partners, crafting meaningful narratives from data to drive product strategy. The ideal candidate has extensive experience with analytics, statistical methods, and coding, as well as strong communication skills. A great opportunity awaits for those passionate about leveraging data to influence outcomes. #J-18808-Ljbffr

Google - Mountain View, CA, USA; New York, NY, USA (Preferred location) Apply X Note: 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. Requirements: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of 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 with Gen AI Evaluation Science, ML and modern AI. Experience working with peers and more executive stakeholders. Ability to manage a product quality flywheel to inform iterations in model and product development. About the job Google Shopping is a comprehensive product search engine, a fast‑growing product ads business, and an everyday essentials marketplace. We aim to revolutionize shopping by building great user experiences that bring users, retailers, and manufacturers together. The Consumer Shopping Data Science team works on Shopping products on various surfaces including .com, AI Mode, and Gemini. We are a shopping feature data science (DS) team within the Consumer Shopping DS, focused on building and evaluating AI‑driven shopping experiences in Search (e.g., AI mode, AI Overview, etc.). As a Senior Data Scientist, you will lead analytics and measurement for key shopping features, working closely with Product and Engineering to shape development, experimentation strategy, and long‑term roadmap decisions. You will play a critical role in defining how we build and measure user experience within emerging AI‑powered features, delivering insights that directly influence product evolution. By applying advanced experimentation and analysis, you will drive data‑informed decisions across our AI‑driven shopping surfaces. The US base salary range for this full‑time position is $156,000-$229,000 + 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 Lead analysis to shape the direction of AI‑powered shopping features in Search and AI mode, including areas such as brand profile, user generated content and next‑generation shopping experiences. Design and analyze A/B experiments to evaluate shopping feature impact and trade‑offs. Develop and operationalize novel measurement methodologies to quantify user behavior, engagement, quality, long‑term user value for evolving shopping features. Conduct post‑launch and longitudinal analyses to understand the long‑term impact, identify growth opportunities, and inform future product development. Partner closely with Product, Engineering and User Experience (UX) to translate ambiguous product questions into clear frameworks and actionable insights. Equal Employment Opportunity Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

A leading tech company located in Mountain View, CA is seeking a Staff Product Data Scientist to enhance its advertising strategy. This role requires 10 years of analytics experience and a bachelor's degree in a relevant field. The successful candidate will leverage statistical analysis and coding expertise to deliver insights that shape significant business decisions within Google Ads, driving measurable results. Compensation ranges from $183,000 to $271,000, plus bonuses and equity, with opportunities for professional growth. #J-18808-Ljbffr

corporate_fare Google place Mountain View, CA, USA Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Apply link Copy link 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. 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL). Experience in applying AI/ML to Data Science questions, from inception to completion. Experience in extracting and analysing large sets of data with SQL and in designing ETL flows. About the job In this role, you are responsible for building and maintaining Android Extended Reality (XR), the first operating system built from the ground up for the Gemini era of spatial computing. The platform unifies Augmented Reality (AR), Mixed Reality (MR), and Virtual Reality (VR) technologies to sense the world from your vantage point and seamlessly interweave digital intelligence into your physical environment. The goal is to extend human capability by making computing more perceptive, immersive, and helpful through the power of multimodal AI. You will provide quantitative support, market understanding and a strategic perspective to the partners throughout the organization. You serve as an analytics expert for your partners, using numbers to help them make better decisions. You weave stories with meaningful insight from data. You 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. Android is Google's mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world. 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 about benefits at Google . Responsibilities Perform analysis by utilizing relevant tools (e.g., SQL, R, Python). Using comprehensive technical knowledge, use custom data infrastructure or existing data models. Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and validate data to ensure quality. Report Key Performance Indicators (KPIs) to support business reviews with cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities. Provide analytical insights and recommendations to influence product feature development decisions, and with some guidance. Partner with PM, Engineering and other Android teams to provide product and strategy insights that will improve performance and help scale the product/features. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

corporate_fare Google place Mountain View, CA, USA Apply 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. AMeasurement is a cornerstone of performance advertising, driving the majority of Google Ads business growth. Accurate and unbiased measurement empowers bidding engines to maximize advertiser ROI, fostering growth for both advertisers and Google. The Product Analyst team applies advanced analytics to guide Google Ads strategy in this crucial area, ensuring that our advertising solutions effectively connect businesses with customers and deliver measurable results across our ad platforms. The AIM Data Science team provides quantitative support, market understanding and a strategic perspective to our partners throughout the organization, in close collaboration with the Ads & Commerce Finance team. As the Staff Product Data Scientist for Enterprise Platforms, you will help drive the vision of how large advertisers buy Google and third party advertising inventory efficiently. You will be responsible for setting the team's strategic direction, managing stakeholder relationships. 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 about benefits at Google. Responsibilities Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide analytical thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business). Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, implementation of analytical/statistical models, and presentation to stakeholders. Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, analytical and product-specific expertise. Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and help define operational goals and objectives. Directly or indirectly oversee the contributions of others and develop colleagues' capabilities in the area of specialization. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

A leading global technology company in San Francisco seeks a senior software engineer with expertise in anomaly detection and machine learning. You will lead projects to develop scalable cloud-based solutions, collaborating with teams and mentoring others in advanced AI techniques. A PhD or equivalent experience is essential, along with proven leadership in cloud architecture. The role offers a competitive salary and extensive benefits including paid time off and flexible working arrangements. #J-18808-Ljbffr

A leading technology company is seeking an experienced engineer to join their team focused on building intelligent ML systems for observability. The ideal candidate will have a PhD in Computer Science or a related field, along with significant experience in cloud-based architectures like AWS or Azure. Responsibilities include leading the development of machine learning algorithms and enhancing AI features across platforms. This position offers an attractive salary and extensive benefits, including flexible vacation policies and a comprehensive insurance package. #J-18808-Ljbffr

A leading technology company is seeking a Business Development Principal Lead for Data to support AI model development. This role involves sourcing third-party data partnerships and collaborating with Google DeepMind researchers. Candidates should have over 10 years of experience in business development and partnerships, including a master's degree. The salary ranges from $168,000 to $249,000 plus bonuses, equity, and benefits. #J-18808-Ljbffr

A leading technology company is looking for a Principal Software Engineer to architect their data platform. Candidates should have extensive experience in software engineering focusing on backend systems, cloud services, and data infrastructure. You will lead technical strategies, optimize performance, and mentor junior engineers. This role requires expertise in technologies such as Snowflake, Airflow, and Graph databases. The compensation range for this position in California is $230,800 to $334,600. #J-18808-Ljbffr

A leading cloud-based software company seeks a Data Model Architect with extensive experience in data modeling and architecture. The role involves designing robust data models that integrate various data sources and optimizing data architectures on platforms like Snowflake. Ideal candidates will possess a Master's or Ph.D., with strong SQL skills and a solid background in building Enterprise Data Warehouses. The company offers robust support and resources for employee growth. #J-18808-Ljbffr

A leading CRM software company in the United States is looking for a Senior Engineer to build and modernize data pipelines, using technologies such as Snowflake and dbt. The ideal candidate will have a strong background in software engineering and experience with AWS services. This role emphasizes mentorship and a solid grasp of data engineering practices. Candidates with familiarity in Graph Databases and streaming technologies will stand out. The position comes with competitive compensation and comprehensive benefits. #J-18808-Ljbffr

A leading technology firm in San Jose is seeking a Senior Product Manager to lead the long-term vision and modernization of its core Data Platform. This role demands a blend of strong product strategy skills and technical depth. The candidate must possess over 6 years of experience in product management, particularly with enterprise platforms. Key responsibilities include defining product strategy, leading cross-functional teams, and aligning strategic outcomes. This is a high-influence position requiring excellent communication skills and customer empathy. #J-18808-Ljbffr

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Join Adobe as a Sr Data Science Engineer and be part of a team that is crafting the future of digital experiences. This is your chance to work on brand new projects that impact millions of users worldwide. At Adobe, you will collaborate with exceptionally dedicated colleagues, drive ambitious projects, and contribute to crafting flawless solutions. If you are passionate about data science and eager to make a significant impact, this is the role for you! What you'll Do Develop and implement models to solve complex problems Collaborate with cross-functional teams to determine project requirements and deliverables Use proven methodologies to ensure data accuracy and model reliability Compete in a dynamic environment to successfully implement innovative solutions Analyze and interpret large datasets to provide actionable insights Lead initiatives to improve the performance and scalability of our data platforms What you need to succeed Degree or equivalent experience with 5+ years of practical experience Strong expertise in statistical analysis, machine learning, and data mining Proficiency in programming languages such as Python, R, or Scala Experience with big data technologies like Hadoop, Spark, or Kafka Ability to strictly adhere to deadlines while maintaining high-quality standards Excellent communication skills and a collaborative approach Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $133,100 -- $236,400 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $163,200 - $236,400 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

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: San Bruno, CA, USA; Mountain View, CA, USA. Minimum qualifications: * Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. * 8 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years of experience with a Master's degree. * 4 years of experience identifying opportunities for business/product improvement and then defining/measuring the success of those initiatives. Preferred qualifications: * Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 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. In this role, you will be developing a unified, holistic view of growth and health across the entire YouTube ecosystem. Your primary mission will be to establish the standards for what healthy growth looks like, actively monitor product areas for performance, and proactively surface and explain critical trends to YouTube leadership. You will move beyond localized growth initiatives to provide the cross-platform insights that guide major business and product investments. Your work will involve developing new frameworks for measuring and benchmarking growth across different parts of YouTube, diagnosing areas of unhealthy or unsustainable trends, and translating data into clear, actionable narratives. The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Perform analysis by utilizing relevant tools (e.g., SQL, R, Python). Use comprehensive technical knowledge, custom data infrastructure or existing data models. * Design and analyze rigorous experiments to validate hypotheses on the living room surface, translating results into clear recommendations for Engineering and Product partners. * Develop and standardize a comprehensive suite of horizontal growth metrics and health indicators to measure performance across all major YouTube product and feature areas. * Provide investigative insights and recommendations to influence product feature development decisions, and with some guidance. * Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics.

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: San Bruno, CA, USA; Mountain View, CA, USA. Minimum qualifications: * Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. * 8 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years of experience with a Master's degree. * 4 years of experience identifying opportunities for business/product improvement and then defining/measuring the success of those initiatives. Preferred qualifications: * Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 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. In this role, you will be developing a unified, holistic view of growth and health across the entire YouTube ecosystem. Your primary mission will be to establish the standards for what healthy growth looks like, actively monitor product areas for performance, and proactively surface and explain critical trends to YouTube leadership. You will move beyond localized growth initiatives to provide the cross-platform insights that guide major business and product investments. Your work will involve developing new frameworks for measuring and benchmarking growth across different parts of YouTube, diagnosing areas of unhealthy or unsustainable trends, and translating data into clear, actionable narratives. The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Perform analysis by utilizing relevant tools (e.g., SQL, R, Python). Use comprehensive technical knowledge, custom data infrastructure or existing data models. * Design and analyze rigorous experiments to validate hypotheses on the living room surface, translating results into clear recommendations for Engineering and Product partners. * Develop and standardize a comprehensive suite of horizontal growth metrics and health indicators to measure performance across all major YouTube product and feature areas. * Provide investigative insights and recommendations to influence product feature development decisions, and with some guidance. * Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics.