Việc làm Chuyên gia Khoa học Dữ liệu (Data Scientist) - MSB - DT - 1M436 - Công ty CP Quản trị Nguồn nhân lực TNTalent

Thông tin việc làm

Nơi Làm Việc

Hà Nội

Cấp Bậc

Nhân viên

Hình Thức

Nhân viên chính thức

Bằng Cấp

Đại học

Kinh Nghiệm

4 - 8 Năm

Mức Lương

40,000,000 - 50,000,000 VNĐ

Ngành nghề

CNTT - Phần mềm, CNTT - Phần cứng / Mạng, Ngân hàng

Phòng Ban

Ngân hàng TMCP Hàng Hải Việt Nam - MSB

Hạn Chót Nhận Hồ Sơ

23/05/2024

Lưu việc làm

Liên kết hữu ích

Phúc Lợi

Bảo hiểm
Du Lịch
Thưởng
Chăm sóc sức khỏe
Tăng lương

Mô Tả Công Việc

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.

Yêu Cầu Công Việc

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