GIẢI PHÁP PHÂN TÍCH DỮ LIỆU INSIGHT DATA 5.0 ★

To ensure compliance with Vietnam's Personal Data Privacy Policy, candidates should submit their applications through VNG's official career site: The risk management team at ZaloPay consists of highly motivated team players who are dedicated to building ZaloPay as the most trusted financial service and the best against bad actors in the Vietnamese fintech market. By developing and adopting advanced tech-driven prevention mechanisms/solutions while focusing on user growth and customer experience, we aim to make risk management capability a core and key differentiation of ZaloPay compared to other competitors. This helps our business grow sustainably and provide affordable services to all Vietnamese people.How will you make an impact?We are looking for a savvy, motivated, team-oriented Data Scientist to join our Risk Data Science team. The team is responsible for bringing insights from data to assess and manage multiple financial risk exposures (e.g., promotion abuse, ATO, KYC fraud, payment fraud), as well as developing and maintaining controls, strategies, solutions, and experiences related to the end-to-end management of these exposures.The hire will be responsible for the full life-cycle of data product (i.e., from problem identification, to data product design & development, deployment, monitoring & optimization in production) of our Risk Data Solutions & Analytics. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies; and communicating with stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets.What will you do?The ideal candidate is an experienced solution and team builder who enjoys optimizing complicated problems or building them from the ground up. The data science team will work closely with our risk pillar owners, data engineers, and software engineers on new mechanism/solution initiatives and will ensure optimal data/model/system architecture is consistent throughout ongoing projects. The candidate must be self-directed and comfortable supporting the needs of multiple teams, systems, and products.
Focus on bringing statistical depth, analytical insights, and accurate interpretation of data;
Extract, analyze, and apply data-mining/AI/ML techniques to large structured and unstructured datasets;
Own, design, develop, and test large-scale data science pipelines and algorithms that are built for speed, scale, and usability;
Conduct end-to-end data processing, troubleshooting, and problem diagnosis in the whole life cycle of AI/ML development and operation;
Research and investigate academic and industrial AI/ML techniques for product improvements;
Stay current on published state-of-the-art algorithms and competing technologies;
Analyze and improve existing data sources, models, strategies, and metrics;
Design and analyze experiments to pilot, test, and apply new features & solutions;
Report, visualize, and communicate results & impacts;
Collaborate with other engineers and team members to evaluate and improve the core components of autonomous systems;
Identify any product/functionality/technical gaps required to deliver a solution and collaborate with internal teams to define the necessary enhancements to support delivery;
Evaluate and recommend tools, technologies, and processes to ensure the highest quality solutions;
Foster a culture of ownership, accountability, testing, and measurement; as well as continuous improvement through mentoring, feedback, and metrics2 - 10 years of relevant work experience with large amounts of REAL data
MSc/PhD in machine learning, statistics, math, data science, computer science, or other closely related areas;
Strong machine learning/statistics background with hands-on experience in academia and industry, sourcing, cleaning, manipulating, and analyzing large volumes of data;
Experience with end-to-end modeling projects emerging from research efforts;
Willingness to understand a complex system and its various components;
Great scripting and programming skills (fluent in Python, Java, Scala);
Experience with open-source machine learning libraries such as sci-kit-learn, weka, distributed/parallel big data processing architecture (e.g., Hadoop, Spark, MLlib), and deep learning framework (e.g., TensorFlow, Pytorch);
Excellent problem-solving and communication skills;
Ability to work well in a fast-paced culture and ability to manage multiple projects and deadlines.We hope VNG is a place where you build your career. Whether you want to pursue to be a manager or focus on professional development, we acknowledge and appreciate your talents. Therefore, we open up to you more promotion opportunities in VNG, and designed program to help you succeed in every single career path. NO SUIT, NO TIE: At VNG, we do not have many rules because we respect you and want to make comfortable atmosphere to help employees perform their jobs well.Company "pay" for you: Lunch, parking, swimming, learning English or gym for free and you know you are really in care.NO BARRIERS: Office of VNG is an open space because we always try to remove all barriers to help members easily shares with each other.Being a big family: Like a gift for family day. A party for the kids. We know how much your family matters.NO RANK At VNG, members are encouraged to contribute ideas and debate with the others.Be explored: Ph.D., un-academic guy, bookish girl, fashion designers ... VNGers are different and this diversity makes life more colorful.NO "OFFICE": Office is like your home. You can hang paintings, plant trees, even feed aquarium on the desk.Be showed your best: VNGers like to "mortification" with the group games such as: Fansipan climbing, waterfall rafting, go over heat mats; there activities not only are tightening friendship, but also practice their bravery.GAMING: Even if you do not make the game, stealing beans in the boss's garden or versusing with your colleagues in a sword competition play online is also an interesting way to relax.Changing the world: Creating an entertainment channel, building a social network and developing a game. On the Internet world, every single thing you did can change the lives of many people.Let's join VNG to share our mission: 'MAKE THE INTERNET CHANGE VIETNAMESE LIVES'