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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.

AI Engineer with full-stack capabilities in Computer Vision and NLP, supporting the building, testing, and deployment of machine learning models and algorithms. The role works closely with senior engineers and cross-functional teams (product, marketing, data science) to integrate AI features into user-facing products and internal tools. Responsibilities also include improving AI pipeline performance, monitoring and evaluating deployed AI systems in operation, and assisting in the development of AI-powered internal tools such as assistant bots for content generation, marketing workflows, and other internal processes.Mô tả công việcDevelop and test AI-driven features in collaboration with the senior engineering team, focusing on marketing tools, user engagement, and automation products.Assist in building and improving internal AI tools, such as bots for content generation and workflow automation, to enhance team productivity.Support the deployment and maintenance of machine learning models and ensure their effectiveness in production environments.Continuously monitor AI systems and suggest improvements based on user feedback and system performance.Work in an agile environment, participating in sprint planning, development, and testing cycles.Yêu cầu công việcBachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, or a related field.Basic understanding of AI/ML concepts and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.Proficiency in programming languages like Python, with a solid understanding of coding practices and principles.Familiarity with data manipulation and analysis tools (e.g., Pandas, NumPy).Familiarity with cloud platforms (AWS, GCP, Azure) is a plus.Strong analytical and problem-solving skills, with a willingness to learn and adapt to new technologies and challenges.Good communication skills and the ability to work collaboratively within a teamExperience with project about Computer vision and NLP

At MoMo, we are not just processing transactions; we are shaping the future of finance in Vietnam.As a Data Analyst Trainee in the Corporate Data Office (CDO), this role is an opportunity for you to learn by doing.You will be guided by experienced data professionals, explore how analytics supports real business decisions, and gradually gain hands-on experience in building data products—from raw data to insights and reusable data assets—used across MoMo’s products and internal platforms.Mô tả công việcLearn and work with semantic / metrics layers (e.g. semantic models, metrics definitions, dimensions) to support consistency across dashboards and analyses.Build and maintain automated dashboards to monitor key performance metrics, with guidance from the team.Analyze datasets to generate insights that support business and product decision making.Develop an understanding of the “Data as a Product” mindset, contributing to data solutions that are reliable, well-documented, and reusable.Gain hands-on experience with workflow orchestration tools such as Airflow, n8n, or similar platforms.Collaborate with internal teams to understand business needs and support the delivery of data solutions.Support cross-functional projects by contributing analytical insights and data foundations.Yêu cầu công việcFinal-year student or fresh graduate in Data, Computer Science, Statistics, Economics, or related fieldsStrong analytical mindset to support data-driven decision makingFast learner with high learning agility, eager to pick up new data tools and conceptsData product mindset: build reliable, reusable datasets beyond one-off reportsBasic proficiency in SQL and comfort working with large datasetsClear communication skills (English Vietnamese) and ability to collaborate cross-functionally

MoMo is the leading mobile payments provider in Vietnam, committed to improving the lives of every Vietnamese through technological innovation. As our business continues to expand, we're looking for an experienced Data Engineer to join our Data Platform team.At MoMo, we emphasize smart, efficient, and excellent execution, with a strong focus on data quality. Our data platform delivers critical insights for:Business and app performance monitoringMachine learning products including recommendation systems, personalization, risk scoring, fraud detection, targeted promotions, and financial servicesWe're also building a next-generation hybrid data platform across multiple cloud providers, giving us greater control over both cost and technologyMô tả công việcWith MoMo's AI-first mission, we are designing and building a self-serve data platform to empower both internal teams and external partners. This platform allocates resources based on users’ needs to support:Ingesting data from diverse sources — either in batch or streaming, using both pull and push mechanismsDeveloping and deploying resilient data pipelines across the data lake, data warehouse, and streaming systemsDelivering high-quality, derived datasets to downstream tools such as BI solutions (e.g., Apache Superset, Google Data Studio), via multiple delivery methods including APIs, datasets, and streaming dataMonitoring data quality throughout all data pipelines in the platform to ensure high-quality data, resulting in better decision-making, accurate reporting, and reliable machine learning outputsTracking and optimising resource usage for efficiencyAdditionally, we are building Data Management Systems that enable the Data Governance team and data consumers to:Manage the full data lifecycle within the big data platformExplore the MoMo data ecosystem independentlyProvide a single source of truth with high data quality to downstream consumersTrack and manage infrastructure costs across major projects, teams, and departmentsYêu cầu công việcBachelor’s degree in Computer Science, Engineering, or a related fieldA problem solver with a strong sense of ownership and accountability — not just a task executor5+ years of experience working as a Data Engineer and 1+ year of experience working as leaderCurious and committed to lifelong learning, with a passion for solving business problems through engineering, improving service quality and usability, and maintaining a strong customer focusStrong foundation in computer science fundamentals, including data structures, algorithms, database systems, and data modelling techniquesProficient in at least one of the following languages: SQL, Python, JVM-based languagesExperience with databases such as PostgreSQL, MySQL, ClickHouse, DuckDB, etcSkilled in analysing, designing, implementing, and optimising Data Vault or Dimensional Modeling for performance and costHands-on experience with infrastructure platforms — cloud-based (e.g., GCP, AWS) or on-premise — and container orchestration using KubernetesExperience with data storage and processing engines like Apache Spark, Apache Flink, and StarRocksExperience with Google Cloud Platform or Amazon Web Services is a plus.

This position plays the role of Talent Partner for the assigned unit. You will be responsible for sourcing and attracting talents (Tech focus) to support business growth and organizational priorities. By building strong partnerships with hiring managers and maintaining an engaging candidate experience, the Talent Partner ensures a seamless, high-quality recruitment process that aligns with company goals, culture, and long-term talent strategy.Mô tả công việcActing as an independent contributor, proactively partner with technical teams to understand their hiring needs and ensure relevant recruitment experience;Develop and implement strategies to source and attract top talents for assigned business units;Facilitate all aspects of the recruitment process, including sourcing, screening candidates, conducting interviews, and managing the remainder of the hiring process;Develop and maintain a diverse pipeline of high-quality technical candidates for current and future needs;Build and maintain strong relationships with potential candidates, provide them with accurate and inspiring information about career opportunities;Contribute to the development of talent acquisition strategies;Support Employer Branding activities;Yêu cầu công việcBachelor’s Degree required;Over 7 years of experience in recruitment in Tech domain (AI, Data science is highly preferred)Broad knowledge of IT products and services;Excellent verbal and written communication skills;Strong sourcing skills to develop and maintain a strong pipeline of candidates.

Mô tả công việcProduct Development Own the product roadmap and backlog: write clear user stories with acceptance criteria, groom and prioritize for business impact, and coordinate sprint planning to ensure smooth execution. Conduct market research, user interviews, and surveys to understand customer segmentation and map user journeys, turning insights into actionable product plans. Run discovery,experimentation cycles (prototypes, A/B tests,...) to validate problems and solutions, and iterate quickly based on results. Define and drive product OKRs, and work closely with the data team to maintain product health dashboards and performance reports. Lead release planning and go-to-market activities with cross-functional partners, ensuring successful launches and stakeholder readiness.Cross-Functional Collaboration Partner closely with business and design teams to define system requirements, create wireframes, UI designs, and user flows that balance user experience and technical feasibility. Work directly with engineering, analytics, and design to deliver end-to-end features, manage dependencies, and ensure on-time releases. Communicate product updates, roadmaps, and performance effectively to stakeholders and leadership, proactively incorporating feedback into product iterations. Build and nurture strong relationships with internal and external stakeholders, representing the product’s voice to foster alignment and shared success. Yêu cầu công việcThe Must-HavesBachelor’s degree in Business, Engineering, Economics, Data Science, or related field.2–3+ years of product management experience. Strong analytical and problem-solving skills, with a data-driven approach to decision-making. Solid understanding of business models across different industries. Strong documentation and presentation skills. Adept at engaging with technical teams and leveraging technologies to deliver practical business solutions. The Good-to-Haves Experience building social platforms or consumer products with millions of users. A track record of driving feature adoption, improving user engagement, or contributing to business performance growth.

The Lead Product Growth (User) is responsible for driving the overall user growth strategy — leveraging data, logical thinking, and a strong product mindset to deliver sustainable growth.This role focuses on building an end-to-end growth engine across acquisition, activation, retention, while working closely with cross-functional teams to turn insights into scalable results.Mô tả công việcGrowth Strategy PlanningDevelop and execute a comprehensive user growth roadmap aligned with business and product objectives.Define segmentation and targeting strategies based on user behavior, needs, and value potential.Collaborate with Product Marketing, Product, Data, and Ops teams to design and implement growth initiatives across all user touchpoints.Coordinate with the Product Marketing to identify new user acquisition channels and optimize campaign performance throughout the funnel.Data-Driven Experimentation InsightsWork closely with the Data Analytics (DA) team to explore user data, identify growth opportunities, and measure performance across key funnels.Design, execute, and analyze A/B tests and growth experiments to validate hypotheses and scale successful initiatives.Monitor and report growth metrics such as user funnel conversion, retention cohorts, engagement, and churn rate.Combine quantitative data (dashboards, SQL, Amplitude, Mixpanel, etc.) with qualitative insights (surveys, UX feedback) to drive decision-making.Product-Led GrowthPartner with the Product and Design teams to develop and optimize in-app experiences (onboarding, referral, membership, gamification, personalized offers, etc.) that boost engagement and retention.Translate growth insights into concrete product requirements and contribute to product roadmap prioritization.Act as the bridge between Product and Business, ensuring that every product improvement supports measurable user growth.Yêu cầu công việcCore CompetenciesStrong logical and analytical thinking; able to translate data into strategic insights and actionable plans.Proficiency with data analytics tools (SQL, Google Analytics, Amplitude, Mixpanel, Looker, etc.).Solid understanding of the user growth funnel and product-led growth mechanics.Experience in cross-team collaboration and managing experiments across Product, Product Marketing, and Data functions.Ability to prioritize and manage multiple growth initiatives simultaneously.Experience4–7 years of experience in Growth, Product, Data Analytics, or Performance Marketing.Proven track record of leading or driving user growth initiatives in tech, fintech, or e-commerce companies.Experience working closely with data and product teams to develop measurable growth experiments.Personal AttributesData-driven and hypothesis-oriented mindset.Logical, structured, and outcome-focused.Strong ownership, adaptability, and bias for action.Passionate about understanding user behavior and finding creative growth levers within the product.Education BackgroundBachelor’s degree in Business, Marketing, Economics, Statistics, Data Science, Computer Science, or a related field.Master’s degree is a plus but not required.Additional certifications in Product Management, Data Analytics, or Growth are a strong advantage.

For Singapore candidate's: Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.For Ho Chi Minh City candidate's: Please visit this Google Careers posting for the Vietnamese-translated version of this role.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Singapore; Ho Chi Minh City, Vietnam.Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. Experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP). Experience coding with one or more programming languages (e.g., Java, C/C++, Python). Experience troubleshooting technical issues for internal or external partners, or customers. Ability to communicate in Mandarin and English fluently to support client relationship management in this region. Preferred qualifications: Master’s degree in Engineering, Computer Science, Business, or a related field. Experience working with database technologies (e.g., SQL, NoSQL). Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering. Experience working with systems (e.g., Linux, Unix, Windows). Experience in an investigative role such as business intelligence, data analytics, or statistics. Excellent written and verbal communication skills. About the jobgTech’s Professional Services team takes a creative, collaborative, and customer-centric approach to provide foundational services and forward-looking business solutions to top advertiser and publisher customers. Through technical implementation, optimization, and key solutions, gTech Professional Services helps customers attain their business goals while building long-term capabilities.Responsibilities Work with clients to understand their objectives and challenges, identify technical gaps, and surface opportunities for solution reuse or innovations. Design and implement solutions that meet client needs and are compliant with data and legal policies. Understand the nuances of clients within the industry and develop subject matter expertise in trending spaces. 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.

Mô tả công việcDeveloping and enhancement large scale systems using Java technologies: Collection/Insurance feature, Loan/Saving/Investing feature, Mobile App Platform, Delivery Services. Contribute in all phases of the development lifecycle;Write well designed, testable, efficient code;Ensure designs are in compliance with specifications;Identify bottlenecks and bugs, and devise solutions to these problems;Researching and developing new technologies, focus on mobile payments;Communicate with other Divisions in support production issue and bug fixing;Provide ad hoc support and advocacy to business subject specialists;Application support with a heavy emphasis on problem identification, diagnosis and resolution;Providing technical guide, proper instruction to low level members;Yêu cầu công việcHave Degree in Computer Science or related fields; 2+ years experience at server-side languages such as Java;Good knowledge of data structure and algorithms; OOP; SOLID; Experience with Spring framework (Spring Bean, Spring AOP, Spring Data, Spring MVC), Spring Boot, Hibernate;Experience with web servers, caching solution such as Redis;Be familiar with RDBMS such as MySQL/PostgreSQL or NoSQL databases such as MongoDB is a plus;

Mô tả công việcDeveloping and enhancement large scale systems using Java technologies: Collection/Insurance feature, Loan/Saving/Investing feature, Mobile App Platform, Delivery Services. Contribute in all phases of the development lifecycle;Write well designed, testable, efficient code;Ensure designs are in compliance with specifications;Identify bottlenecks and bugs, and devise solutions to these problems;Researching and developing new technologies, focus on mobile payments;Communicate with other Divisions in support production issue and bug fixing;Provide ad hoc support and advocacy to business subject specialists;Application support with a heavy emphasis on problem identification, diagnosis and resolution;Providing technical guide, proper instruction to low level members;Yêu cầu công việcHave Degree in Computer Science or related fields; 2+ years experience at server-side languages such as Java;Good knowledge of data structure and algorithms; OOP; SOLID; Experience with Spring framework (Spring Bean, Spring AOP, Spring Data, Spring MVC), Spring Boot, Hibernate;Experience with web servers, caching solution such as Redis;Be familiar with RDBMS such as MySQL/PostgreSQL or NoSQL databases such as MongoDB is a plus;