Executive - Application and Data Scientist
Mức lương: Thỏa thuận
Đã hết hạn nộp hồ sơ - 73 lượt xem
Ngày cập nhật: 20/11/2019
Thông Tin Tuyển Dụng
Hình thức làm việc: Toàn thời gian
Chức vụ: Nhân viên
Ngành nghề: Dầu khí/Hóa chất, IT phần mềm, IT phần cứng/mạng
Mô tả công việc
This position is responsible to provide inputs for management about the corporate data strategy for digitalization transformation roadmap, promote data standards, framework, best practices, manage data management projects and collaborate with other team members to establish an integrated data backbone “as-built” data asset database and when maintained, becomes the “as-maintained” database.
I. JOB FUNCTIONS/RESPONSIBILITIES
- Coordinate across departments to identify the data management requirements. Perform the detail gap assessment of current data management system such as exploring insight data information, data quality and data governance with the management’s expectation.
- Assist the Digitalization Team Lead to propose the data digital transformation roadmap, a part of the digital transformation project to empower company's capability in scaleable digital transformation and real-time analytics in order to enhance production optimization, improve process reliability and support data-driven business decision-making.
- Research and propose data standards, framework, best practices and identify opportunities to improve data accuracy and efficiencies from “as-built” data asset database for Digital Team Lead to assess and review.
- Perform data analysis such as multivariate statistical analysis, clustering, visualization, logistic regression, decision trees, neural networks, real-time data analytics in analyzing large data-sets that will enable development of custom models and algorithms to uncover insights, trends and patterns in the data. Build the prediction data models using machine learning/deep learning techniques. Report results of data analysis, tell data story to the business owners/functional departments.
- Propose data science tools as necessary for work.
- Assist Digitalization Team Lead to firm up whole enterprise architecture system.
- Assist Digitalization Team Lead to manage the digital data management projects to deploy the integrated data backbone. Manage the services, consultancy services and performance of vendors.
- Perform other related responsibilities as required or requested.
II. GENERIC ACCOUNTABILITY
- Be the focal point for the corporate data management tasks.
- Comply with the Company’s internal policies and procedures.
- Proactively engage and perform the assigned tasks.
III. MAJOR CHALLENGES
- Manage data sensitivity and confidentiality.
- Present and convince business owners to determine acceptable solutions.
- Develop the data framework for the whole enterprise.
- Conduct the digital change management project.
I. JOB FUNCTIONS/RESPONSIBILITIES
- Coordinate across departments to identify the data management requirements. Perform the detail gap assessment of current data management system such as exploring insight data information, data quality and data governance with the management’s expectation.
- Assist the Digitalization Team Lead to propose the data digital transformation roadmap, a part of the digital transformation project to empower company's capability in scaleable digital transformation and real-time analytics in order to enhance production optimization, improve process reliability and support data-driven business decision-making.
- Research and propose data standards, framework, best practices and identify opportunities to improve data accuracy and efficiencies from “as-built” data asset database for Digital Team Lead to assess and review.
- Perform data analysis such as multivariate statistical analysis, clustering, visualization, logistic regression, decision trees, neural networks, real-time data analytics in analyzing large data-sets that will enable development of custom models and algorithms to uncover insights, trends and patterns in the data. Build the prediction data models using machine learning/deep learning techniques. Report results of data analysis, tell data story to the business owners/functional departments.
- Propose data science tools as necessary for work.
- Assist Digitalization Team Lead to firm up whole enterprise architecture system.
- Assist Digitalization Team Lead to manage the digital data management projects to deploy the integrated data backbone. Manage the services, consultancy services and performance of vendors.
- Perform other related responsibilities as required or requested.
II. GENERIC ACCOUNTABILITY
- Be the focal point for the corporate data management tasks.
- Comply with the Company’s internal policies and procedures.
- Proactively engage and perform the assigned tasks.
III. MAJOR CHALLENGES
- Manage data sensitivity and confidentiality.
- Present and convince business owners to determine acceptable solutions.
- Develop the data framework for the whole enterprise.
- Conduct the digital change management project.
Yêu cầu ứng viên
QUALIFICATION & EXPERIENCE
- BSc/BA in Computer Science, Engineering or a related field
- Minimum 5-year experience in data scientist/researcher.
- Solid knowledge at Probability and Statistics, Linear Algebra, Optimization, Numerical Computation
- Experience with different types of data, variety of real-time data analytics, machine learning techniques for regression, clustering, modeling framework.
- Skillful at manipulation data using SQL/DBMS.
- Skillful at one of programming/scripting languages: Python, R, C/C++, Java etc.
- Good analytical, conceptual thinking, presentations and documentation skills.
- Experience in reserves estimation, production forecast, well simulation is an advantage.
- Familiar with petroleum software such as Petrel, Eclipse, Gap, Prosper, IPM, WellView is an advantage.
- Good planning, organizational, and time management skills.
COMPETENCIES
- Ability to work under high pressure with minimal supervision
- Ability to work with details and identify key issues in complex situations
- Multi-functional, and able to cope with diverse job demands
- Working & interfacing within a multi-cultural company.
- BSc/BA in Computer Science, Engineering or a related field
- Minimum 5-year experience in data scientist/researcher.
- Solid knowledge at Probability and Statistics, Linear Algebra, Optimization, Numerical Computation
- Experience with different types of data, variety of real-time data analytics, machine learning techniques for regression, clustering, modeling framework.
- Skillful at manipulation data using SQL/DBMS.
- Skillful at one of programming/scripting languages: Python, R, C/C++, Java etc.
- Good analytical, conceptual thinking, presentations and documentation skills.
- Experience in reserves estimation, production forecast, well simulation is an advantage.
- Familiar with petroleum software such as Petrel, Eclipse, Gap, Prosper, IPM, WellView is an advantage.
- Good planning, organizational, and time management skills.
COMPETENCIES
- Ability to work under high pressure with minimal supervision
- Ability to work with details and identify key issues in complex situations
- Multi-functional, and able to cope with diverse job demands
- Working & interfacing within a multi-cultural company.
Quyền lợi được hưởng
- In accordance to company policy
- PVI Care, annual health check
- 13th month salary, monthly transportation, sport activities
- PVI Care, annual health check
- 13th month salary, monthly transportation, sport activities
Cách thức ứng tuyển
Hồ sơ theo yêu cầu của nhà tuyển dụng khi liên hệ trực tiếp
Giới thiệu về công ty
VIETNAMWORKS' CLIENT
Người liên hệ: HR DEPT
Người liên hệ: HR DEPT
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