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Chuyên viên cao cấp Khoa học Dữ liệu - DF - DXAB Toàn thời gian

2022-11-30 21:31   Ngân hàng   Toàn Quốc   19 views Reference: 8792
Mô tả công việc & Yêu cầu tuyển dụng

MÔ TẢ CÔNG VIỆC

Objectives:

  • The job holder investigates business problems, extract, analyze and interpret large amounts of data from a range of sources, using advanced algorithmic, data mining, artificial intelligence, machine learning, deep learning, data visualization and statistical tools, in order to make it accessible to businesses and deliver pre-agreed specific business KPIs.

Key Responsibilities:

  • 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.

YÊU CẦU CÔNG VIỆC

  • Bachelor's degree (or higher) in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering, Information Technology or other Numerical Disciplines. Master or Ph.D. degree in the field is a plus.
  • Experience in querying databases, coding and statistical computer languages (e.g. Python, Scala, Java, SQL)
  • 2-4 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, plot.ly, etc.
  • Experience using cloud services (AWS, GCP, Azure) is a plus
  • 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
Mô tả về Nhà tuyển dụng
Ngân hàng Thương mại Cổ phần Hàng Hải Việt Nam là ngân hàng thương mại cổ phần được cấp giấy phép thành lập đầu tiên tại Việt Nam, được thành lập năm 1991 tại thành phố Hải Phòng.