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Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 8 years of experience in C/C++ programming for architectural modeling and performance simulation of SoC subsystems. Preferred qualifications: Experience with software-based system modeling and performance analysis. Experience with performance evaluation for mobile or IoT devices. Experience in memory management or compression algorithms on Linux. Experience in network protocol stacks, packet processing pipelines, or Wi-Fi and modem subsystem architectures. About the jobBe part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.Responsibilities Develop and port Transaction-Level Modeling (TLM)/functional models for SoC subsystems, focus on network (Wi-Fi/modem) and memory accelerators (data compression). Apply knowledge of embedded CPUs, networking protocols, and operating system memory management (zram/zswap) to model pipelines and data flows. Implement and verify models using SystemC, Quick Emulator (QEMU), or gem5, ensuring correctness in packet processing and compression transactions. Simulate accelerator interactions with host CPUs and memory via Advanced eXtensible Interface (AXI)/Advanced Peripheral Bus (APB) protocols. Debug system models and leverage driver development experience for early hardware/software co-verification and software stack execution. 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 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 jobThe 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 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 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.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. 5 years of experience with customer-facing designing and deploying distributed data processing systems with one or more technologies. Experience with SQL databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Mongo, Cassandra, DynamoDB, etc.). Experience with data modeling techniques and methodologies for traditional Online Analytical Processing or Online Transaction Processing (OLAP/OLTP) databases and modern data warehouses Preferred qualifications: 5 years of experience in managing technical client service. Experience with 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 with designing and deploying distributed data processing systems with one or more technologies: SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, Flink, Kafka, Druid, Hive, HBase, Vertica, Netezza or Teradata. 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 projects to transform their business with data. You will provide consulting, solution design, and technical program management capabilities to customer engagements while guiding customer executives and technical stakeholders on project related decisions. You will serve as a liaison between the customers and product teams to drive product excellence and adoption. 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 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 Work with customer technical leads, client executives, and partners to manage and deliver implementations of cloud solutions. Become 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 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. 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 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 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: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 5 years of experience with customer-facing designing and deploying distributed data processing systems with one or more technologies. Experience with data modeling techniques and methodologies for traditional Online Analytical Processing or Online Transaction Processing (OLAP/OLTP) databases and modern data warehouses. Experience with SQL databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Mongo, Cassandra, DynamoDB, etc.). Ability to communicate in Bahasa language fluently to support client relationship management in this region. Preferred qualifications: 5 years of experience in managing technical client service. Experience with 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 with designing and deploying distributed data processing systems with one or more technologies: SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, Flink, Kafka, Druid, Hive, HBase, Vertica, Netezza, or Teradata. 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 projects to transform their business with data. You will provide consulting, solution design, and technical program management capabilities to customer engagements while guiding customer executives and technical stakeholders on project related decisions. You will serve as a liaison between the customers and product teams to drive product excellence and adoption. 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 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 Work with customer technical leads, client executives, and partners to manage and deliver implementations of cloud solutions. Become 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 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. 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.

BI Data Modeling: Design scalable data marts and build end-to-end pipelines from raw data to business-ready tables, ensuring reliability, performance, and standardized metrics (e.g., GMV, conversion, DAU).Demand Growth Analysis: Analyze demand trends, identify growth levers, and lead A/B testing end-to-end–from hypothesis to evaluation and monitoring.Dashboard report  Insights: Develop dashboards and reports, deliver ad-hoc analyses, and translate complex data into clear, actionable insights for stakeholders.Continuous Improvement Mentorship: Enhance BI processes using advanced tools (incl. AI) and mentor junior members to build team capability and drive continuous improvement.

為什麼大家喜歡在 RichWell Co.Ltd. 上班？ 1.彈性上班-早上不趕打卡，想多睡一點、避開通勤人潮都OK。2.特休多多-不用等滿一年就能休假，我們比法規更大方，放假就是要爽爽的。3.獎金福利讚 年終、績效獎金該有的都有，努力絕對不白費。4.生日小驚喜，公司記得你的每個重要時刻。5.定期聚餐/Team Building 不只是工作夥伴，更是一起成長的戰友，吃吃喝喝感情更緊密。6.技術課、內部分享會，想學什麼我們都支持，讓你持續進化不退化！ Responsibilities • Lead and mentor the data analysis team, providing guidance on methodologies, tools, and best practices. • Define data strategy and analytics roadmap aligned with business and product objectives. • Oversee data collection, integration, and governance across multiple sources, ensuring data accuracy, consistency, and security. • Drive advanced analytics initiatives, including statistical modeling, forecasting, and experimentation (e.g., A/B testing). • Partner with product, engineering, and business teams to define KPIs and build scalable tracking frameworks. • Deliver strategic insights and executive-level reports to support decision-making and business growth. • Identify opportunities to improve product performance, user experience, and operational efficiency through data-driven insights. • Establish and optimize dashboards, reporting systems, and data visualization standards. • Promote a data-driven culture across the organization and enhance data literacy among stakeholders.

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.