Data Scientist

6 months ago


Ho Chi Minh City, Vietnam Schaeffler Việt Nam Full time

**Mô tả công việc**:
(Mức lương: Thỏa thuận)
- Design and implement large-scale data solutions using Cloud technologies
- Implement and manage ETL processes, data transformations, data flows and service APIs
- Work with data virtualization, integration, and analytics technologies on our data platform
- Execution of analysis in the area of production and analytics
- Development of Machine
- and Deep Learning solutions in the smart factory area
- Work in interdisciplinary, cross-functional teams according to agile methodology
- Closely collaborate with divisional business organizations, digitalization, and IT functions
- In addition to the duties listed above, the position holder must carry out tasks assigned by his supervisor that are essentially related to his duties.

**Chức vụ**: Trưởng nhóm/Trưởng phòng

**Hình thức làm việc**: Toàn thời gian

**Quyền lợi được hưởng**:

- Laptop
- Chế độ bảo hiểm
- Phụ cấp
- Xe đưa đón
- Chế độ thưởng
- Chăm sóc sức khỏe
- Đào tạo
- Tăng lương
- Công tác phí
- Phụ cấp thâm niên
- Nghỉ phép năm

**Yêu cầu bằng cấp (tối thiểu)**: Đại Học

**Yêu cầu công việc**:

- Bachelor or master’s degree in computer science, statistics, engineering or related area
- Relevant work experience (>5 years) in the field of quantitative analytics or machine learningin the context of the manufacturing industry
- Good programming skills with Python
- Familiarity with modern tech stacks and ecosystems (e.g. ML Ops)
- Familiarity with Cloud platforms e.g. AWS, Azure, Google Cloud
- Knowledge of ETL techniques and frameworks, such as ADF, PowerCenter, NiFi, Sqoop
- Good communication skills and experiences in an agile work environment
- Proficiency in database and system administration (Linux, Windows)
- Experience with data virtualization architectures and platforms (e.g., Denodo)
- Experience with data warehouse design and development
- Know-how and practical experience with IoT, machine connectivity and messaginginfrastructure (nats.io, e.g.)

**Yêu cầu giới tính**: Nam/Nữ

**Ngành nghề**: Big Data/Hadoop,CNTT - Phần Mềm,Data Analytics

Đại Học
Không yêu cầu


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