+ Extract, analyze, and apply data-mining and machine learning techniques to large structured and unstructured datasets.
+ Design, develop and test large-scale data science pipeline and machine learning algorithms.
+ Design and analyze experiments to test new features & products.
+ Develop new algorithms and models for product improvement.
+ Work with product managers, designers, and engineers to build new features and products.
+ Providing technical solutions to match business requirements with focus on scalability and handling fast-growing data sets.
+ End-to-end data processing, troubleshooting, and problem diagnosis.
+ Implement the tools and services, handling performance, scale, availability, accuracy and monitoring.
+ Create interactive dashboards and unique data visualizations.
+ BA/BS in Computer Science or related technical field or equivalent practical experience.
+ 1 years relevant work experience with large amounts of real data.
+ Experience with one or more general purpose programming languages including but not limited to: Java, C/C++, Python, R, Scala, or Go.
+ Strong background in Machine Learning, Data Mining, Artificial Intelligence.
+ Strong experience in implementing large-scale data science pipeline, machine learning algorithms.
+ Experience with modern ML frameworks such as scikit-learn, mahout, libsvm, MLlib (in Spark), torch, theano, tensorflow, etc.
+ Experience with visualization tools such as d3, matplotlib, ggplot
+ Understanding of applied statistics including sampling approaches, causal modeling, time series analysis.
+ Experience in Hadoop/Spark and/or other MapReduce paradigms is a plus
+ Experience in large-scale DB, building large-scale distributed applications and services is a plus
+ Knowledge of Deep Learning is a plus!
+ Negotiable salaries (Min 3k$)
+ Various extra activities
Application Instructions: For more information, please visit: https://career.vng.com.vn/co-hoi-nghe-nghiep
Ready to embrace challanges on making the Internet change Vietnamese lives? Please send your CV to Mr. Anh Le (email@example.com). Warmly welcome!