[DGA Share] - Chuyên gia Khoa học Dữ liệu (Data Scientist) - MDTB
DESCRIPTION
- Evaluate effectiveness of proposed models and track business performance KPIs against data model.
- Drive application of machine learning and big data techniques across different journeys and squads.
- Manage, execute, and review complex data science projects in an agile manner and in compliance with internal regulatory requirements.
- Lead the identification and interpretation of meaningful and actionable insights from large data and metadata sources together with business partners.
- Review processes and tools designed to monitor and analyze model performance and prediction accuracy.
- Proactively lead discussions in 3+ squads to identify questions and issues for data science
- Collaborate with Data Engineers & ML Engineer to build complex, technical algorithms in data analytics software applications to improve work efficiency.
- Manage project conflicts, challenges and dynamic business requirements to keep operations running at high performance.
- Work with team leads to resolve people problems and project roadblocks, conduct post mortem and root cause analysis to help squads continuously improve their practices to ensure maximum productivity.
- Mentor and coach junior fellows into fully competent Data Scientists.
- Identify and encourage areas for growth and improvement within the team.
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