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Job Description

This position belongs to MSB D-Innovation 02 - The most extensive annual IT recruitment program of MSB. The highest goal of the Program is to create opportunities for experienced Technology experts to demonstrate their ability, thereby successfully implementing the 2000-billion Mega Projects in the high-tech complex of MSB (including large/small Technology projects and MSB IT BU). 

- Mine, profile, clean and analyze data from company’s databases to drive optimization and improvement of product development, customer journey experiences, revenue uplift, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of multiple data sources and data gathering techniques.
- Know at all times your data (size, average, distributions, outliers, etc.) and be able to estimate model output, impact and come up with sanity checks to detect bugs (discrepancies between expectations and results). Analyze data for trends and patterns and interpret the data with clear objective and outcome in mind.
- Translate business problems into data analytics ones, build algorithms and work with machine learning and deep learning tools to deliver advance analytics solutions across the firm including classification, regression, recommendation engines, clustering, time series forecasting, probabilistic & statistics modeling, etc.
- Collaborate with use case leads and campaign teams for end-to-end analytics use cases with baselining, modeling, stratified sampling, A/B testing design and go-to-market plan.
- Execute and review data science projects in an Agile manner and in compliance with internal regulatory requirements.
- Develop processes and tools to monitor and analyze model performance and prediction accuracy.
- Guarantee machine learning models are developed with modular, maintainable & scalable code bases.
- As a senior data scientist, you will also:

  • 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.

Job Requirement

  • Bachelor'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)
  • 3-6 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
  • Understanding of Agile principles, practices and Scrum methodologies

Quyền lợi

  • Tham gia những dự án số hóa trọng điểm với vốn đầu tư lên tới 2000 tỉ đồng, ứng dụng những công nghệ mới nhất.
  • Mức lương tháng tùy khả năng công việc: $1000 - $3000. Gói thu nhập từ 15 đến 20 tháng lương/năm kèm nhiều đãi ngộ hấp dẫn (Esop, vay ưu đãi, bảo hiểm sức khỏe cao cấp …, thưởng dự án tùy vị trí công việc).
  • Được dẫn dắt bởi đội ngũ quản lý giỏi chuyên môn, đánh giá công bằng. Cơ hội làm việc trực tiếp với các đối tác hàng đầu thế giới (AWS; BCG; IBM; Temenos…).
  • Nhiều chương trình đào tạo nâng cao kỹ năng, năng lực chuyên môn. Được tham gia chương trình Lãnh đạo kế cận (Talent Pool) khi nhiều năm có hiệu suất năm việc tốt.
  • Làm việc trong “Ngân hàng Chuyển đổi số tiêu biểu” của năm 2021 do Hiệp hội Ngân hàng và Tập đoàn dữ liệu quốc tế (IDG) vinh danh. Văn phòng làm việc đẳng cấp theo mô hình Agile tiên tiến. Cơ sở vật chất, công cụ lao động tốt, cấu hình mạnh mẽ.

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