Cake Job Search

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.). 5 years of experience coding in one or more programming languages. 5 years of experience working with data infrastructure and data models by performing exploratory queries and scripts. Preferred qualifications: Master’s degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Math). Experience with data warehouses, large-scale distributed data platforms, and data lakes. Ability to navigate ambiguity in a fast-paced environment with multiple stakeholders. Excellent structured thinking skills, with the ability to break down complex, multi-dimensional problems. Excellent business and technical communication, organizational, and problem-solving skills. About the jobgTech’s Product and Tools Operations team (gPTO) leverages deep user, operational, and technical insights to innovate Google's Ads products into customer experiences that are so intuitive (or automated) that they require no support at all. gPTO partners closely with gTech’s Support, Professional Services, Product Management, and Engineering teams to innovate and simplify our Ads products and build the productivity tools ecosystem for gTech users. The YouTube team helps budding creators build careers, artists and media companies reach audiences, and create products like YouTube Kids, YouTube Music, and YouTube TV. The YouTube Business Strategy and Operations team is responsible for driving all go-to-market functions for the YouTube business organization.As a Data Engineer within YouTube Analytics and Data Science, you will be part of a community of analytics professionals who work on impactful projects. You will build the data sets that help run the business, piping the relevant data into and out of our tools, and making it useful for analysts across the organization to drive reporting and insights. You will be responsible for democratizing YouTube’s business data, helping business leaders make sense of business operations through timely, accurate, and business intelligence. You will build and maintain the YouTube ETL systems to produce useful datasets, establish best practices for data sets and reporting, and develop a breadth of expertise in various data domains.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.Responsibilities Build and maintain data platforms to enable data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data sets. Conduct requirements gathering and project scoping sessions with subject matter experts, business users, and executive stakeholders to discover and define business data needs. Design, build, and optimize the data architecture and Extract, Transform, and Load (ETL) pipelines. Work closely with analysts to productionize and scale value-creating capabilities, including data integrations and transformations, model features, and statistical and machine learning models. Engage with the analyst community, understand critical user journeys and data sourcing inefficiencies, advocate best practices and lead analyst trainings. Write and review end-user and technical documents, including requirements and design documents for existing and future data systems, as well as data standards and policies. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience working with data infrastructure and data models by performing exploratory queries and scripts. 5 years of experience coding in one or more programming languages, and designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal and external stacks. 3 years of experience in a people management, supervision, or team leadership role. Preferred qualifications: 10 years of experience in business intelligence, analytics, and data engineering related fields. 5 years of experience developing project plans and delivering projects on time within budget and scope. 5 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers. 5 years of experience with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, DataStudio, and business intelligence platforms. 3 years of experience with machine learning for production workflows. Experience in programming and SQL, and with building, developing, and leading a team. About the job As a Data Engineering Manager, you will lead and empower a high-performing team of data engineers, fostering a culture of technical excellence, continuous mentorship, and process innovation. You will act as a strategic partner for stakeholders, prioritizing initiatives that drive automation, enhance data infrastructure, and ensure the delivery of high quality data products. Ultimately, your leadership will directly enable the YouTube content partnerships and creator ecosystem, equipping business leadership with the critical insights needed to optimize the effectiveness and efficiency of the YouTube partner-facing business teams.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we 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.Responsibilities Establish and clearly articulate team strategy that drives the organization's overarching goals and decision-making across functional groups. Define the technical goal continuously adapting it to anticipate future business requirements and infrastructure scalability. Build and refine robust internal processes to govern project prioritization, the end-to-end development lifecycle, and ongoing operational support. Lead a high-performing team of data engineers by providing technical guidance, establish best practices, and manage task allocation through an agile roadmap that adapts to evolving stakeholder demands. Partner effectively with cross-functional stakeholders. Steer the complete lifecycle of data products, direct your team in the design, development, and ongoing maintenance of data assets specific to YouTube partnerships data. Shape the strategic narrative for executive leadership by delivering insights to key decision-makers, automating the insight-gathering process, and translating complex technical analyses into clear communications. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Computer Science, or equivalent practical experience. 5 years of customer-facing experience designing and deploying distributed data processing systems with one or more technologies. Experience with SQL data bases (e.g., PostgreSQL, MySQL, Oracle) and NoSQL data bases (e.g., Mongo, Cassandra.). Experience with different types of data modeling techniques and methodologies for traditional Online Analytical Processing or Online Transaction Processing (OLAP/OLTP) databases and modern data warehouses. Preferred qualifications: Certification in Cloud. 5 years of experience in managing technical client service. Experience reading software code in one or more languages such as Java, Python, NodeJS, Golang, JavaScript. Experience in devising migration approaches, and migrating on premise data processing systems to Cloud. Experience designing and deploying large-scale distributed data processing systems with one or more technologies: Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, Flink, Kafka, Druid, Hive, HBase, Vertica, Netezza, Teradata, Tableau, or MicroStrategy. Knowledge of building and operationalizing data pipelines. About the jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. In this role, you will work with customers on critical projects to transform their business with data. You will provide consulting, solution design, and technical program management capabilities to customer engagements while directing customer executives and technical stakeholders on project related decisions. You will serve as a liaison between our customers and product teams to drive product excellence and adoption. In addition, you will also work with Google partners currently servicing accounts to manage programs, deliver consulting services, and provide technical guidance.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Work with customer technical leads, client executives, and partners to manage and deliver successful implementations of cloud solutions becoming a trusted advisor to decision makers throughout the engagement. Work with internal specialists, product and engineering teams to package best practices and lessons learned into thought leadership, methodologies, and published assets. Interact with business, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful client outcomes. Propose solution architectures and manage the deployment of cloud based databases, big data, and analytics solutions according to customer requirements and implement best practices. Travel up to 40% of the time for client engagements as needed. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 3 years of 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: Experience with Adverse Impact Analysis or regulatory compliance audits. Experience working with sensitive HR or people data. Experience in statistical analysis (e.g., hypothesis testing, regression) and applying these methods to the business problems. Ability to automate manual analytical processes, such as self-service tools and AI agents. About the jobThis is a unique opportunity at Google to be at the forefront of applying AI/ML to solve complex people-analytics challenges at a global scale. You will leverage Google's people data and technology to develop and deploy innovative solutions that directly impact Googlers' lives. You will also play a crucial role in shaping the future of People Analytics by collaborating with cross-functional teams, upskilling colleagues in AI/ML, and fostering a data-driven culture within People Operations. You will make a real difference in the lives of Googlers while contributing to the advancement of AI/ML in the HR domain.Responsibilities Design, develop, and implement "repeatable solutions", such as custom AI agents, NLP models (sentiment/topic modeling), etc., to replace manual workflows with automated code. Lead the design and implementation of data pipelines to collect, process, and transform datasets from different sources into "AI-ready" formats. Conduct model evaluations and collaborate with teams to deploy ML solutions and automated pipelines into production environments. Partner with various teams to understand business problems, define project scope, and gather requirements for HR data products. Be a technical lead for annual external audits and adverse impact analysis by preparing validated datasets and translating regulatory requirements into data specifications. Apply the data science expertise within People Analytics domain to develop ML models and AI solutions. Communicate findings and technical concepts to technical and non-technical audiences. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 3 years 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. Preferred qualifications: 6 years of experience delivering meta analysis, fully automated analytics pipelines or audience segmentation and propensity modeling. Applied knowledge of R or Python for statistical analysis and SQL. Understanding of Bayesian approaches and modeling frameworks. Proven ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders. About the jobGoogle's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations. As a Business Data Scientist in the Marketing team, you will drive key measurement and analytics programs that deliver a scaled impact for Google Marketing across media campaigns. You will support your team by delivering pieces of project work, including supporting the implementation of data science solutions, supporting the improvement of data pipelines, running geo-experiments or Marketing Mix Models (MMM) or helping your team develop evaluation metrics that provide insights to the business. You will own measurement and define milestones, provide direction for agencies/vendors, delegate, prioritize, plan, and direct a group of people to drive the project to completion.Specifically, As a Marketing Measurement Specialist, you will play a strategic and technical role in driving all things media, marketing, analytics, and partnering with internal teams to evaluate strategic initiatives. At Google-scale, this implies working on our industry’s toughest challenges. You will maintain global consistency, while keeping regional focus. This role requires working with teams operating across regions and marketing entities.Responsibilities Use your knowledge of data analytics to use/develop solutions for marketing challenges, while also uncovering opportunities for measurement and optimization to push brand and performance marketing to the next level. Build measurement plans, tracking requirements, reporting, metrics and benchmarks for our largest campaigns to understand the incremental impact of our marketing dollars. (e.g., conversion lift tests, matched market analyses, and brand lift studies). Partner with internal teams in advanced analytics work including experimentation, measurement and modeling. Deliver customer-centric, data-driven approach, based on a people-based marketing strategy to build, segment, and test audiences for best business results. Develop/use evaluation frameworks for large-scale models, new metrics, and investigate anomalies. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Mumbai, Maharashtra, India.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience in program management. 5 years of experience designing, constructing, or managing infrastructure projects. Experience creating infrastructure designs (e.g., telecom, electrical, mechanical), drawing sets for builds, and remodels of data center networking spaces. Preferred qualifications: Experience partnering with Data Science teams or directly leveraging machine learning and AI-driven methodologies to scale forecasting models, automate anomaly detection, and simulate capacity scenarios. Experience in network capacity planning, demand forecasting, inventory optimization, or supply-demand matching. Proficiency in data modeling, trend analysis, statistics, and data tools (e.g., SQL, spreadsheet software) to synthesize complex capacity metrics and performance loops. Strong foundational knowledge of network infrastructure concepts, including network routing, peering, cache infrastructure (CDN), or capacity placement. Demonstrated success driving large, high-stakes infrastructure initiatives forward in ambiguous, fast-moving environments while balancing resource efficiency with high availability. About the jobA problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. As a Network Capacity Planner, you will ensure Google Cloud’s growth by guaranteeing network capacity is delivered efficiently and on time to support products and customers. Operating across critical planning and execution horizons, you will blend a deep understanding of network fundamentals with machine learning and AI-driven methodologies to scale forecasting, automate anomaly detection, and simulate complex capacity scenarios.Acting as a key technical collaborator alongside Technical Account Managers, Customer Engineers, and Product Managers, you will navigate customer requirements, mitigate supply stockouts, and manage inventory buffers. Your work will directly balance resource efficiency with high availability, safeguarding infrastructure performance and driving strategic demand attainment across the global network fleet.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Leverage deep knowledge of network fundamentals to understand critical paths, skillfully navigate complex customer requirements, and co-develop tailored solutions alongside Technical Account Managers, Customer Engineers, and Product Managers. Own the 3–12 month execution window, capturing large agreement requirements and navigating 12+ month network lead times. Build forecasting models leveraging machine learning and AI to improve predictive accuracy, automate anomaly detection, and simulate capacity scenarios. Mitigate supplies shortages, maintain optimal inventory levels, manage policy-based buffers, and plan for major peak traffic events. Collaborate to build AI-assisted automation for ordering and resource fulfillment while designing metrics to track fleet efficiency and demand attainment. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 5 years of experience managing projects and defining project scope, goals, and deliverables. Preferred qualifications: 8 years of experience working on signal development, data analysis, cyber security or anti-abuse. Experience programming in one or more languages (e.g., Python, Golang). Experience working with complex engineering systems and processes. Experience with fraud/abuse investigations, fraud risk management, security and threat analysis in the context of internet, telephone, or communication-related products. Knowledge of SMS/MMS/RCS or SIM/phone number fraud and abuse. Excellent communication and presentation skills to deliver findings to cross-functional partners, and the ability to influence cross-functionally at various levels. About the jobTrust Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, youre a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. The Trust and Safety (TS) team has the critical responsibility of protecting Googles users by ensuring online safety by fighting fraud and abuse across Google products.The Messaging Spam and Abuse team works on preventing abuse within the messaging ecosystem. We partner with product teams to identify potential abuse vectors ahead of new launches and establish, evaluate and maintain abuse protections.In this role, you will understand the users point of view and will be passionate about using the technical, problem solving, and acumen to protect the users. You will work globally and cross-functionally with Google Engineers and Product Managers to navigate online safety situations and manage abuse and fraud at Google scale.At Google we work hard to earn our users’ trust every day. Trust Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.Responsibilities Analyze emerging trends, conduct complex data analyses and identify new signals to develop solutions for scaled enforcement. Develop a deep understanding of abuse in messaging, current cross-product workflows and available intelligence. Translate abuse protection requirements into data modeling initiatives and build prototypes. Collaborate with Engineering, Product Managers, Program Manager groups to develop requirements documents based on robust data analysis and granular product understanding. Perform active threat monitoring, identify gaps in abuse detection and constantly update abuse rules based on evolving patterns. Create real-time awareness of threats and educate clients to reduce the problem upstream. Lead projects to prevent Google's infrastructure from being abused to harm users or commit financial fraud resulting in losses to users and/or Google. Collaborate with the carrier ecosystem to block bad actors (e.g., corrective/preemptive measures, fraud investigations). 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 Google's EEO Policy and EEO is the Law. If you have a disability or special 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, or equivalent practical experience. 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 with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods. Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with statistical analysis, modeling and inference. Preferred qualifications: PhD in a quantitative field. 10 years of experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods. 5 years of leadership experience, including people management. Experience with Machine Learning (ML) on large datasets, with the ability to select the right statistical tools in a given data analysis problem. Understanding of potential outcomes framework and with causal inference methods such as split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators, with knowledge of structural econometric methods. Ability to set and drive technical strategy. About the jobAs a Technical Lead on Google’s Advertising Measurement team, you will apply scientific aptitude, excellence, precision, accuracy, expertise, thoroughness and statistical expertise to navigate the complex challenges of a global, privacy-preserving advertising ecosystem. Google is a pioneer in sustaining an open internet through a mutually-reinforcing cycle of ad-planning, optimization, and measurement; in this strategic leadership role, you will be the recognized authority driving that cycle forward. You will develop, organize, and launch large-scale projects spanning engineering and analysis across Search, Display, YouTube, and beyond. By translating advanced science specifically causal inference and quantitative methodologies into deployed products, you will lead the charge in defining paradigm-shifting measurement standards for the future of digital advertising. Working cross-functionally with Engineers, Product Managers, and Sales, you will adjust global strategies based on your findings, ensuring advertising remains useful for users and results-driven for publishers. We are seeking quantitatively trained experts with a passion for business strategy and a deep appreciation for consumer behavior. In this role, you won’t just improve products; you will empower an exceptional team to shape the marketing-technology industry globally. If you thrive in fluid, science-driven environments and are ready to leverage data and technology to solve modern advertising’s greatest challenges, your leadership will be the catalyst for the next era of innovation.Responsibilities Apply causal inference and differential privacy methods to design experiments, assess attribution, and develop privacy-preserving marketing products. Execute end-to-end analyses including data gathering, EDA, and model development to deliver strategic insights to executives. Build iterative analysis pipelines and prototype data structures to provide scalable insights across Google’s complex data ecosystems. Collaborate with Product and Engineering team to define and answer quantitative questions regarding incrementality, user behavior, and bidding optimization. Provide technical guidance and prioritization for the team, conduct cost-benefit analyses to drive high-level business decisions and product strategy. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 1 year of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 1 year of experience in managing projects and defining project scope, goals, and deliverables. 1 year of experience with one or more of the following languages: SQL, R, Python, or C++. Preferred qualifications: Master's degree in a quantitative discipline. 1 year of experience with machine learning systems. Experience with collecting, managing and synthesizing datasets and information from disparate sources, statistical modeling, data mining and data analysis, and with metrics analysis, experiment design and automation. Excellent communication skills. About the jobFast-paced, dynamic, and proactive, YouTube’s Trust Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world. In this role, you will have experience with analyzing data and scaled systems of review. You work in a changing and demanding environment. You will be a key contributor to the strategy for reducing network badness on YouTube. You will be solving technological tests and setting standards. You will balance the requirements . You will require on-call work at weekends on a rotational basis. You will also be exposed to graphic, controversial, and sometimes offensive video content during team escalations in line with YouTube’s Community Guidelines.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.Responsibilities Perform fraud and spam investigations using multiple data sources, identify product vulnerabilities and drive anti-abuse experiments to prevent abuse. Work with engineers and interact cross-functionally with stakeholders to improve workflows by process improvements, automation and anti-abuse system creation. Design and refine prompts for Large Language Models (LLMs) to improve their accuracy in identifying and classifying abusive content and behavior, including prompt engineering, data labeling, and performance analysis. Apply advanced statistical methods to datasets to understand the impact of abuse to the YouTube ecosystem. Contribute strategy and development of new workflows. Learn technical concepts and systems and deliver results using them. Maintain and promote quality by providing regular feedback metrics to the Global team. Manage technological solutions for streamlining quality assurance and produce training solutions. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Hyderabad, Telangana, India.Minimum qualifications: Bachelor's degree in a research or quantitative field, or equivalent practical experience. 5 years of experience designing, scoping, executing, and delivering research and analysis projects. 5 years of experience translating business problems into research questions and translating research findings and insights into marketing recommendations. Experience managing research and measurement agencies. Preferred qualifications: Experience measuring a fast-evolving consumer app or AI-driven product. Experience with data clustering, lifetime value modeling, and churn prediction to drive marketing automation. Experience leading project workstreams, managing external agencies, or mentoring junior analysts on technical and storytelling best practices. Understanding of the iOS/Android tracking landscape, including navigating privacy-safe measurement (SKAdNetwork, Sandbox). Ability to quickly translate a vague business question into a structured analytical plan and a clear so what for leadership. About the jobGoogle's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations. In this role, you will go beyond data processing to become a strategic architect of growth insights, driving the long-term roadmap for Gemini’s adoption, engagement.. You will serve as a primary analytical lead for cross-functional stakeholders, translating complex product and marketing interactions into clear strategic pivots.You will operate with high autonomy, partnering deeply with Product Data Science, Media, and Finance teams to ensure the measurement frameworks are durable and scalable. You will not only analyze data sets but also define the standards for statistical excellence, experimental design, and automated reporting across the organization.Responsibilities Partner with product data science to architect advanced funnels. Move beyond identifying trends to forecasting user behavior and defining the north star metrics for feature adoption and long-term engagement. Lead the measurement of acquisition and re-engagement campaigns. Develop incrementality frameworks to validate the true ROI of paid and organic efforts. Inform global budget allocation through deep-dive CAC/LTV analysis. Oversee the development of sophisticated automated reporting suites. Ensure data consistency across Marketing, Product, and leadership teams by building robust data pipelines and Looker/Tableau environments that serve as the single source of truth. Lead sophisticated segmentation and cohort analysis to drive personalized lifecycle marketing. Identify high-value usage patterns and proactively recommend product or marketing triggers to maximize users. Synthesize massive, conflicting data points into concise executive-level briefs that influence the strategic direction of Gemini leadership. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.