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MSB

54A Nguyen Chi Thanh, Hà Nội

Quy mô công ty : 100-499

Xem thêm

Tóm lược

  • 100-499
  • Product
  • Việt Nam

Data Scientist

MSB

  • Đống Đa, Hà Nội
  • Lên đến 4300USD
  •  Toàn thời gian
  •  English
  •  Có kinh nghiêm (Nhân viên)
1
1

  •  Ngày Đăng:26/07/2022

  • Hết hạn
Data Scientist
Hết hạn
Yêu cầu kỹ thuật: Python , Scala , Java , Machine Learning , Statistics , Social Network , Regression Testing , MS SQL , HDFS , Apache Hive , MS Azure , D3JS , AWS , Pandas , Tensorflow , Keras , Deep Learning , GCP , scikit-learn , PyTorch , Numpy , Matplotlib , Apache Presto , PySpark , Seaborn

Mô tả công việc

Tóm tắt 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.

- The job holder initiates and supervises the setup of ML projects together with business to generate pre-agreed KPI-driven solutions using state-of-the-art DS methods, processes, systems and tools on structured & unstructured, diverse Big Data sources.

- The job holder is required to take initiative in experimenting various technologies and tools with vision of creating innovative data driven solutions for the business at the quickest pace possible and keep current with technical and industry developments.

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.

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.
  • Identify and encourage areas for growth and improvement within the team.
  1. Tham gia những siêu dự án với vốn đầu tư 2000 tỉ đồng, ứng dụng những công nghệ mới nhất.
  2. 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…).
  3. 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).
  4. 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.
  5. 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.
  6. Thời gian làm việc: Từ thứ 2 đến thứ 6 (Sáng 8h00-12h00, Chiều 13h30-17h30)

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

 

Ngôn ngữ

    • English

    • Nói: Intermediate - Đọc: Intermediate - Viết: Intermediate

Yêu cầu kỹ thuật

  • Python
  • Scala
  • Java
  • Machine Learning
  • Statistics
  • Social Network
  • Regression Testing
  • MS SQL
  • HDFS
  • Apache Hive
  • MS Azure
  • D3JS
  • AWS
  • Pandas
  • Tensorflow
  • Keras
  • Deep Learning
  • GCP
  • scikit-learn
  • PyTorch
  • Numpy
  • Matplotlib
  • Apache Presto
  • PySpark
  • Seaborn

NĂNG LỰC

  • Analytic Skills
  • Communication Skills
  • Agile
  • Scrum

Tìm kiếm công việc phù hợp

Thông tin doanh nghiệp

MSB is proud to be the first Joint Stock Commercial Bank since 1991.

Over 28 years of establishment and development, MSB has constantly created many breakthrough milestones in the banking industry:

From 2009 to 2010, MSB developed a long-term / scale business strategy in consultation with McKinsey International.

In 2015, MSB became one of the leading joint stock commercial banks in terms of charter capital & network by merging Mekong Development Commercial Joint Stock Bank & acquiring Vietnam Textile and Garment Financial Joint Stock Company.

In 2018, MSB continues to pioneer the application of 4.0 technology and becomes the first bank to apply artificial intelligence (AI) to credit card issuance & successfully integrate QR code payment method with 2 partners. The major partner is Vnpay & Payoo.

In 2019, MSB will implement a comprehensive change from brand recognition to experience model to become the most reliable bank, with the best customer understanding and high profitability in Vietnam.

Các việc làm khác của nhà tuyển dụng này

  • 100-499
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  •  Toàn thời gian
  •  Có kinh nghiêm (Nhân viên)
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Data Engineer

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  •  Toàn thời gian
  •  Có kinh nghiêm (Nhân viên)
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Kỹ năng: MS SQL, MIS, ETL, NoSQL, Linux, Python, Google BigQuery, Hadoop, Apache Spark, Apache Hive, Scala, Apache Kafka, Tableau, MS Power BI, Apache Impala

Tìm kiếm công việc phù hợp

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