VNG Corporation HCM

Tóm tắt công việc

VNG offers a wide range of products and services, categorized into 4 business groups: Online Games, Payment, Zalo, and Cloud, earning the trust of both customers and partners. 

We believe in the power of the Internet and see it as its mission to bring to Internet users meaningful experiences. Each day, millions of young Vietnamese entertain, connect, make friends, and engage in social activities through VNG products, which stands an ample testimony to how VNG creates value for society.

Hence, we are looking for a Senior Data Scientist to join our Data Science Team to help us with our mission - creating value for society. You’ll be part of a team that is disrupting the industry with innovative attribution models and building the future analytics platform to be used by many teams (Trust & Safety, Promotion,..) for User Behavior, Campaign performance, and market insights.  

You’ll be working on very exciting projects using big data technologies with terabytes of data coming from a different sources.

Responsibilities:

• Work with many teams (PO, Tech, BO) to understand dataflow, cashflow
• Identify problems and propose recommendations
• Focus on bringing statistical depth, analytical insights, and accurate interpretation of data
• Measure system performance and also deeper understand trends by providing insights and recommendations based on large amounts of data from various sources
• Design innovative attribution models to implement valuable metrics and better address system enhancement, user behavior
• Build and maintain visually appealing and engaging dashboards for stakeholders
• Work with Data Engineers to help define the data standards and requirements helping to ensure our systems are running correctly and efficiently.
• Involve in the development and evolvement of the data architecture
• Support internal training and proper documentation ensuring the successful onboarding of new team members.

Financial Well-being

-  A competitive salary with fixed 13th month salary and variety of allowances

-  Annual performance bonus, VNG Birthday Bonus and gifts on special occasions.

-  Personal finance coach/ sharing workshop.

-  Special support for all employees/ dependents who are under treatment of serious disease or impacts of storm/ flood/ fire.

Community and personal development

-  Job rotation and movement in different positions within 4 BUs.

-  Development opportunities: great career path, working with a talented team, approaching newest technologies, and challenging with new projects.

-  Professional career development opportunities with First Line & Middle Manager Development, Talent Development, Advanced Leadership, and various fresher programs.

-  Diversified learning and development program with over +21,000 courses including offline & online training, LearningBox, and Coaching/ Mentoring.

Leave & time-off

-  Annual leave: 14 - 20 days/year and other leave in accordance with the Labor Law of Vietnam.

-  Up to 30 days sick leave with full-paid salary.

-  05 days per year to build up teamwork, challenge/ sport events.

Health and Wellness

-  Annual periodic medical checkup.

-  Health/ Social Insurances & Generali Insurance.

-  Gym, Swimming pool, Kid yard, library, and clinic room are available at Campus for employees and their kids.

-  Sport sponsorship for all employees who join challenging sport events.

Other benefits in accordance with the Labor Law of Vietnam

• 5+ years relevant work experience with large amounts of data
• Education background in machine learning, statistics, math, data science, computer science or other closely related area
• Strong machine learning/statistics background with hands-on experience in academia and/or industry, sourcing, cleaning, manipulating and analyzing large volumes of data
• Experience with open-source machine learning libraries such as numpy, pandas, scikit-learn, distributed/parallel big data processing architecture (e.g., Hadoop, Spark, MLlib) and deep learning framework (e.g., TensorFlow, Pytorch)
• Understand the business domain (FinTech, AdTech knowledge is a plus)
• Can plan, prioritize and troubleshoot
• Experience with recommendation systems is a plus
• Experience with data science models in finance domain or CRM (e.g., credit scoring, CLV, churn, etc) is a plus.