- 工作地点：上海
- 职位：
- 信息来源：西门子（中国）有限公司发电与天然气事业部
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SLC_PG_Data Analytics Engineer 西门子（中国）有限公司 发电与天然气事业部 数据分析工程师（地点：上海）
Job ID: INV013
Data mining scientist delivers
insights and value from heterogeneous data with solutions that integrate into
engineering and decision processes. Partner with client sectors to build and
share successful understandings of how business value can be derived from big
data. Identify engineering solutions and products to build a portfolio of
recommended analytical solutions. Design and enhance the big data portfolio
within client projects identified, validated, and tested data science products.
Responsibilities/Tasks
1 Together with customers, define their requirement for data models,
architectures and data flows
2 Design and build up the data analysis system
3 Develop statistical or data mining algorithms and embed them into data
analysis system
4 Develop tools and techniques for data analysis.
5 Build prototype solutions for problems brought by business sectors and prove
that business value can be derived from the data.
6 Design data framework, principle, guideline and template for the customer
data management
Requirements:
1 Has research experience in Machine Learning and artificial intelligence; has development experience with
terabyte or larger size poly-structured data sets. Experience with statistical
analysis software, such as Weka, R, Rapid-Miner, SPSS.
2 Experience in one of the systems: Hadoop (Cloudera), Hue, ETL (Talend),
MapReduce, Hive, Pig, Hbase or other data warehouse toolsets
3 Proficient with R language and SQL, and one of the language: Python, Scala,
C++ or Java.
4 Familiarity with Linux (RHEL based distributions preferred).
5 Chinese and English language skills are essential. Fluent English in reading
and writing. Presentation skills are highly desirable
6 Strong interpersonal skills to work with multi-cultural colleagues,
customers, industry experts, and university associates
7 Good teamwork, ownership and results oriented
8 Ph.D degree in Computer Science, Mathematics, Statistics, Industrial
Engineering
