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At MoMo, we are not just processing transactions; we are shaping the future of finance in Vietnam. We are seeking a visionaryAnalytics Engineering Managerto bridge the gap between complex data infrastructure and actionable business insights. In this pivotal role, you will lead the charge in defining our data modeling standards, ensuring data quality, and empowering our stakeholders with a robust, self-service data platform. If you are passionate about applying software engineering best practices to data analytics and leading high-performing teams, we want you to build the future with usMô tả công việc1. Team Leadership Culture:Lead, mentor, and grow a team of talented Analytics Engineers. You will be responsible for their career development, fostering a culture of continuous learning and technical excellence.Champion the "Data as a Product" mindset, ensuring that datasets produced by the team are treated with the same rigor and reliability as customer-facing software.Drive agile processes within the data team to ensure rapid delivery of value while maintaining high standards.2. Technical Strategy Architecture:Architect and maintain a scalable data modeling layer (using tools likesemantic) that transforms raw data into reliable, documented, and accessible datasets.Define and enforce coding standards, version control practices (Git), and CI/CD workflows for analytics code.Collaborate with Data Engineering to optimize data warehouse performance (e.g., BigQuery/Lakehouse) and manage compute costs effectively.3. Data Quality Governance:Implement automated testing and observability frameworks to detect data issues before they impact downstream users.Establish clear data lineage and documentation to democratize data access across the organization.Ensure strict adherence to data privacy, security, and compliance standards—a critical requirement in the Fintech sector.4. Cross-Functional Collaboration:Partner closely with Product Managers, and Business Leaders to translate complex business requirements into technical data solutions.Act as a technical advisor, helping stakeholders understand the "art of the possible" with our data stack.Yêu cầu công việcExperience:5+ years of experience in the Data domain, with at least 2 years in a leadership or management role.Technical Mastery:Expert-level SQL skills and deep understanding of query optimization.Hands-on experience with Cloud Data Warehouses (Google BigQuery)Workflow Orchestration:Hands-on experience with orchestration tools such asAirflow, n8n.You should be capable of designing complex, dependency-aware pipelines that are resilient to failure.BI Semantic Layer Integration:Deep understanding of how data is consumed by BI tools (e.g.,Looker...). Ability to design the 'Semantic Layer' to ensure consistent metrics across the organization.Soft Skills Culture FitStakeholder Management:"Ability to manage expectations with C-level executives and negotiate priorities effectively in a fast-paced environment."Talent Acquisition:"Experience in recruiting top-tier engineering talent and building a diverse, high-performing team from the ground up."

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: 8 years of experience in data analysis, database querying (e.g., SQL), and BigQuery. 5 years of experience with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, Data Studio, and business intelligence platforms. 5 years of experience in a leadership role with direct reports. Experience with a wide range of data engineering and data governance tools like cloud platforms, data warehousing solutions, data quality tools, and metadata management systems. Experience with data analysis at scale, including statistics, and machine learning model development. Familiarity with data center technology or supply chain. About the jobThe Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate. The Cloud Supply Chain Data Engineering, End-to-End Systems and Analytics team is chartered to provide the most efficient systems and analytics enabling faster decision making and throughput time for Google Cloud's Supply Chain. As Google Cloud continues to scale, this team’s work will contribute to the ongoing product, process and capability growth to ensure Google can continue to meet market and competitive goals.Google's projects, like our users, span the globe and require managers to keep the big picture in focus. As a TPM, Data Engineering, you will lead the next generation of business intelligence platforms, reporting, and intelligence globally for Google's Server Operations teams. You will work with internal and external customers to build cascading dashboards and reports, diagnostic analytics, and owning a server operations measurement framework for effective decision making.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 Lead a team of individuals. Set and communicate individual and team priorities that support organizational goals. Meet regularly with individuals to discuss performance and development, and provide feedback and coaching. Design and build data processing systems with a particular emphasis on security, compliance, scalability, efficiency, reliability, and portability. Create or consult in creating data visualizations using Business Intelligence (BI) tools (e.g., Data Studio, Tableau, etc.). Develop and maintain data models, pipelines, and exchange formats to assist in the visualization, analysis, and interpretation of data and for use of data in ML training/models. Provide ongoing support for data users through maintenance of reports, queries, and dashboards, fielding user questions, authoring documentation, and delivering training. Develop tools and systems to automate data processes, facilitate faster turnarounds, and increase overall efficiency. 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. Experience building, developing, and leading a team. About the jobAs 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 various 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 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 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.

At SWAG Live's data team, our mission is to democratize data by building a self-service data platform. We aim to empower internal teams to access, interpret, and derive valuable insights from data effectively.As a Data Scientist in this role, you will collaborate with a multidisciplinary team of engineers and analysts to tackle diverse challenges using quantitative techniques such as statistical analysis and machine learning. You will work with large, complex event-based datasets, conduct exploratory data analysis (EDA), define requirements, and develop deploy models. We are particularly seeking a data scientist with experience in building customized recommendation models and a strong interest in product-focused machine learning development. Responsibilities Leverage state-of-the-art algorithms to build fully customized recommenders and other growth models.Design, deploy and maintain all components necessary for modeling, including feature engineering, automatic model training tuning and engineering toolchains.Create a comprehensive monitoring framework to evaluate model performance and provide actionable insights to drive business growth, focusing on awareness conversion and transactions.Understand stakeholder business requirements and design end-to-end machine learning/AI solutions that are effective, practical, and robust in addressing business challenges.Collaborate closely with data engineers and backend engineers to develop scalable systems.Communicate efficiently with cross-functional teams, promote the implementation of strategic applications, and drive continuous optimization.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: We are seeking an exceptionally talented data scientist with strong modeling and programming skills to join our team. In this role, you will work closely with data science team and technologists across the firm to develop appropriate features and metrics for data processing. Perform analysis and generate models of financial datasets using machine learning techniques Process, clean and verify the integrity of unstructured data and turn data into valuable insights Develop and create data that seek to predict the movement of financial market Transfer data into internal infrastructure applying variety of algorithmic techniques What You’ll Bring: Have a Master’s degree or higher from a leading university in Computer Science, Electrical Engineering or other related areas Good academic record Familiar with modeling, data structures, algorithms and optimizations Strong knowledge of machine/deep learning algorithms Proficient in programming languages of both C++ and Python Possess good communication and presentation skills in English Ability to work independently and as member of a team Research scientist mindset: deep thinker, creative, strong work ethic, persevering, smart a self-starter Detail oriented and capable of multitasking and delivering in fast-paced work environment As a plus: While not mandatory, a strong interest in financial markets will definitely be beneficial Participant of ACM-ICPC By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

For Tokyo applicants: Google welcomes people with disabilities.For Sydney applicants: At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.  For Singapore applicants: Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tokyo, Japan; Sydney NSW, Australia; Singapore.Minimum qualifications: Bachelor's degree in Computer Science, Telecommunications or Electrical Engineering, or equivalent practical experience. 6 years of experience in telecommunications or data center infrastructure, working with optical network infrastructure (fiber splicing, OTDR testing, DWDM systems). Experience in coding/scripting for network automation (e.g., Python, Go) and with data modeling. Experience managing vendors, contractors, or field teams in a cross-functional environment. Ability to communicate in English and Japanese fluently to support client relationship management in this region. Preferred qualifications: 10 years of experience in telecommunications infrastructure, deployment, or design of networks in hyperscale data centers. Experience in Network Design and Troubleshooting. Experience with automation frameworks and CI/CD pipelines. Experience with AI/ML infrastructure requirements or large-scale cluster networking. Ability to work independently, manage conflicting priorities, and lead technical projects with minimal supervision. Ability to travel internationally across the APAC region. About the jobAs a Network Implementation Engineer, you will be the initial point of our efforts to execute deployment, maintenance, and operations of private data networks worldwide. You will work with Technical Program Managers, Network Engineers, Design and Infrastructure Engineers, Field Engineers within Google, as well as construction and telecommunications vendors and contractors, all to position your team and organization for success. You will facilitate faster, better, and more efficient, positive outcomes for the business and our customers. Your objective will be to build the world’s most reliable, cost-effective and scalable network to support all of our current and future customers and users globally. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Serve as the APAC technical lead for fiber optics and structured cabling. Ensure installations from Inside Plant (ISP) to Outside Plant (OSP) to meet Google’s rigorous hyperscale standards. Direct and establish priorities for third-party vendors and partners across the region. Conduct audits and site inspections ensuring workmanship quality in data centers, colocation facilities, and POPs, utilizing English and Japanese fluently to support client relationship management in this region Travel up to 30% to key markets including India, Australia, Malaysia, Thailand, and others conducting quality assessments and lead critical infrastructure turn-ups. Analysis and efficiency improvements of significant impact. Create metrics and dashboards, prove the quality standards are being met, move the region toward data-driven decision-making. Utilize modern network automation frameworks (e.g., Ansible, Nornir) and data modeling (YAML/JSON) standardizing how we capture and review installation quality. 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.

We are looking for an exceptional Fullstack Developer to join our forward-thinking engineering team. In this role, you will be at the forefront of our architectural evolution, driving the development of scalable, modern web applications.You will not just be a contributor; you will be a key architect in our shift towards a Microfrontend architecture. We value engineers who are eager to embrace modern methodologies, including Prompt Driven Development, to maximize efficiency and innovation. If you are passionate about decoupling complex systems, designing robust APIs, and leveraging AI to accelerate your workflow, we want to hear from you.Mô tả công việcMicrofrontend Architecture: Design, develop, and maintain loosely coupled micro-apps using Single SPA. Ensure seamless integration and shared state management across the platform.Backend Development: Build scalable, maintainable, and high-performance server-side applications using NestJS and MongoDB.State Data Management: Implement sophisticated state management and caching strategies utilizing Redux Toolkit, Redux Toolkit Query, and Tanstack React Query to ensure a snappy user experience.UI/UX Implementation: Craft responsive and accessible interfaces using Ant Design, Ant Design Pro Components, and Radix UI.Prompt Driven Development: Actively utilize and advocate for AI-assisted tools (LLMs, Copilot) to generate boilerplate, debug complex issues, and accelerate the development lifecycle.Code Quality: Write clean, testable, and documented code. Participate in code reviews to maintain high standards.Yêu cầu công việcFrontend StackMicrofrontends: extensive experience with Single SPA is a critical requirement for this role.Frameworks: Deep proficiency in React and React Router.State Management: Expert-level knowledge of Redux Toolkit.Data Fetching: Experience with Redux Toolkit Query or Tanstack React Query.UI Libraries: Proficiency with Ant Design, Ant Design Pro Components, and Radix UI.Backend StackFramework: Solid experience building RESTful or GraphQL APIs with NestJS.Database: Proficiency in data modeling and querying with MongoDB.Experience LevelMiddle/Senior: Proven track record of delivering complex full-stack applications (typically 4+ years of experience).Soft SkillsSystem Design Thinking: You understand the trade-offs in distributed systems and can design architectures that are scalable and maintainable (Crucial for our Microfrontend approach).Mentorship Knowledge Sharing: You enjoy helping others grow. You proactively share knowledge, conduct code reviews, and mentor junior team members.Problem-solving Adaptability: You approach challenges with a solution-oriented mindset and can adapt quickly to changing requirements or technologies.Effective Communication: You can articulate complex technical concepts to both technical and non-technical stakeholders clearly and concisely.Nice to HaveDemonstrated experience or a strong interest in integrating AI tools into your daily coding workflow to boost productivity and code quality.

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.The RoleLogitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.We are seeking a highly skilled Senior Data Scientist to join the Digital Growth Solutions organization. In this role, you will leverage your analytical skills, machine learning knowledge, and Gen AI-proficiency to uncover insights from commercial and customer service data.You will act as a technical bridge, supporting our Marketing Data Hub Product Owner and Segmentation Leads to drive data-informed decision-making across campaigns and digital experiences. This role blends immediate execution on our Customer Data Platform (CDP) with a strategic 12-18 month roadmap to build our internal Marketing Mix Modeling (MMM) capability.Your ContributionBe Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. These are the behaviors you’ll need for success at Logitech. In this role, you will:1. Advanced Analytics Machine LearningPredictive Modeling: Build, evaluate, and deploy predictive models using Python to solve real-world problems (e.g., churn prediction, LTV forecasting, and propensity scoring).Explainable AI: champion Explainable ML (e.g., SHAP values) to ensure non-technical stakeholders understand why a model is making specific recommendations.Generative AI: Integrate GenAI tools into data workflows to enhance productivity and generate insights from unstructured text (e.g., customer service logs).2. CDP Strategic CollaborationMarketing Data Hub: Support the Product Owner by designing analytic solutions that support specific business initiatives, ensuring our data strategy aligns with commercial goals.Segmentation Strategy: Partner with Segmentation Leads to perform targeted analysis, identifying meaningful customer patterns to refine our audience strategy.Actionable Insights: Translate complex findings into compelling stories via Tableau dashboards and visualizations that drive business action.3. Engineering Data FoundationsData Quality Pipelines: Evaluate data quality and propose cleaning strategies. Work with structured and unstructured data, designing efficient pipelines (using AWS Lambda, Athena) to ensure reliable data.Reproducibility: Develop reproducible data science workflows (not just ad-hoc scripts) in Jupyter Notebooks and productionize them via Snowflake.Marketing Mix Modeling (MMM): Over time, architect the end-to-end development of Logitech’s in-house MMM framework to measure ROI across online and offline channels.Key QualificationsFor this role, we need a blend of an Engineer’s discipline and a Statistician’s mind.Education Experience:Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, or a related field.8 years of experience in a Data Science role, specifically with a focus on marketing, customer analytics, or commercial data.Core Stack: Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL (Snowflake required).Cloud Architecture: Hands-on experience with AWS Cloud Services is a strong plus (SageMaker, S3, Athena, Lambda).Statistical Depth: Solid understanding of regression analysis, classification, time-series forecasting, and experimental design (A/B testing).Visualization: Experience with Tableau or similar BI tools for dashboarding.Business Acumen: Advanced proficiency in designing analytic solutions based on vague business requirements.Communication: Strong skills to present and engage with non-technical stakeholders (Marketing Directors, Finance partners).Autonomy: Ability to work independently in a fast-paced, matrixed environment.Curiosity: A Hungry and Humble attitude—willing to learn new stacks (like GenAI) and challenge the status quo.Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at 1-510-713-4866 for assistance and we will get back to you as soon as possible.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience in data analytics, trust and safety, policy, cybersecurity, or related fields. Preferred qualifications: 4 years of experience in data analytics, access and authentication management, cybersecurity, technology research, anti-abuse, or related fields. Experience in SQL, building dashboards, data collection and transformation, statistical modeling, visualization and dashboards, or a scripting or programming language (e.g., Python, Java, C++). Excellent written and verbal communication skills. 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. As a Data Analyst, you will be responsible for designing, developing, and maintaining trust and safety access and security systems, ensuring that security objectives are met without compromising operational efficiency. You will be designing and implementing seamless integrations between business goals and security systems, which includes developing and executing strategies to enhance system effectiveness. You will also manage complex projects with multiple stakeholders, stringent deadlines, and significant organizational implications, requiring a high degree of adaptability to changing circumstances. You will have an understanding of the process area, encompassing domain expertise in data sources, access and authentication methods, relevant products, potential issues, interconnected systems, Google-wide business projects, and advanced methodologies such as data extraction and pipeline building.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 Design, develop, and maintain trust and safety access and security systems, ensuring security objectives are met without compromising operational efficiency. Design and implement seamless integrations between business goals and security systems, including developing and executing strategies to support system effectiveness. Manage projects involving multiple stakeholders, stringent deadlines, significant organizational implications, and requiring adaptability to changing circumstances. Demonstrate an understanding of the process area, including domain expertise in data sources, access and authentication methods, relevant products, potential issues, interconnected systems, Google-wide business projects, and investigative methodologies (e.g., extracting data, building data pipelines). Create anomaly detection pipelines, monitor and analyze systems for scaled abuse detection and user access monitoring and reduce risk to the enterprise. 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.

Lead / Senior Data Scientist responsible for driving data science initiatives focused on recommender systems and user engagement, with a strong emphasis on marketing and promotion platforms.Mô tả công việcBuild and improve Machine Learning models to power recommender systems, personalization, and user engagement use cases.Work closely with Product and Business teams to define Machine Learning problems and translate them into scalable data products.Collect, clean, and prepare large-scale datasets for modeling and analysis.Design and engineer features, experiment with new approaches, and continuously improve model performance.Deploy and productionize Machine Learning models in live systems with reliability and scalability in mind.Design, run, and analyze A/B tests to evaluate the impact of the model and generate actionable insights.Build and maintain pipelines for continuous model validation, monitoring, and retraining.Yêu cầu công việcAt least 5 years of working experience with 3 years of hands-on Machine Learning experience, or 2+ years with a PhD in a relevant field.Strong understanding of the mathematical foundations behind Machine Learning algorithms.Proven experience applying Machine Learning to personalization, recommender systems, user behavior analysis, or credit scoring.A strong builder mindset with the ability to take models from prototype to production.High product ownership with a strong sense of responsibility for quality, impact, and long-term maintainability.Strong collaboration skills and willingness to actively support and mentor team members.Experience with credit scoring or financial services models is a plus.