Chuyên gia Khoa học Dữ liệu - MDTB

Qualification and Experiences:

• Master's degree (or higher) in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering, Information Technology or other Numerical Disciplines. Ph.D. degree in the field is a plus.
• Experience in querying databases, coding and statistical computer languages (e.g. Python, Scala, Java, SQL)
• 4-8 years of relevant experience in areas of data analytics, model development on large amount of data, implementing and deploying various statistical, machine learning & deep learning models such as: Simulation, GLM/Regression, Classification, Decision Trees, Random Forest, Gradient Boosted Trees, Neural Networks, Text Mining, Graph Learning, Social Network Analysis, etc.
• Experience with data processing, statistics, machine learning and deep learning tools: Numpy, Pandas, Statsmodels, Scikit-Learn, Tensorflow, Keras, Pytorch, etc.
• Experience with distributed data/computing tools: HDFS, Hive, Presto, PySpark, etc.
• Experience with visualizing/presenting data for stakeholders using: D3.js, ggplot, matplotlib, seaborn, plotly, etc.
• Experience with cloud services (AWS, GCP, Azure)
• Experience in application of machine learning and AI to questions related to the financial sector
• Experience in providing fact-based insights to drive decision-making and help senior management and other stakeholders realize enterprise value at scale
• English proficiency requirements are pursuant to MSB's policy
• Experience with communicating complex analysis and models across a diverse team
• Excellent written and verbal communication skills for coordinating across teams
• Understanding of Agile principles, practices and Scrum methodologies
• Experience working in Agile teams to support digital transformation projects