Continental Corporation Data Scientist in Penang, Malaysia
About Continental With sales of €39.2 billion in 2015, Continental is among the leading automotive suppliers worldwide and currently employs more than 215,000 employees in 55 countries. The Automotive Group with its three divisions Chassis & Safety (sales of approx. €8.4 billion in 2015, roughly 40.000 employees), Powertrain (sales of approx. €7.1 billion in 2015, roughly 35,400 employees) and Interior (sales of approx. €8.2 billion in 2015, roughly 40,500 employees) achieved sales of approximately €23.7 billion in 2015. The Automotive Group is present in more than 170 locations worldwide. As a partner to the automotive and commercial vehicle industry, it develops and produces innovative products and systems for a modern automotive future in which cars provide individual mobility and driving pleasure consistent with driving safety, environmental responsibility, and cost-efficiency.
Auto req ID 83388BR
Job Title Data Scientist
Posting Location Penang
Provide knowledge, data visualization or dash board using data analytic tool such as Identify and predict those weakness on the process, focus in continuous improvement and generate algorithms for the manufacturing operation using linear algebra and probability.
Perform datamining, data cleaning and munging.
Develop customized algorithms to solve analytical problem.
Generate a predictive data from equipment such as possible failures, future issues, improvements of the line or process and others.
Data Visualization. Generate a dashboard report from Splunk.
Work on IT, Process Engineering and Industrial 4.0 community.
Involve in Machine Integration and line improvement.
Collaboration on Data Scientist in other Continental location.
Big data Collaboration in universities.
Graduating students encouraged to apply (Masters/PHDs would be an added advantage).
The individual MUST have proven track record (or at least possessing such capability or knowledge) of industrial implementation of various categories of work. Experience in formulating or implementing algorithms that are capable of evolution (automated parameters updating) would be of a great advantage.
Large data set should excite this person.
A strong knowledge of statistics and data analysis with experience in machine learning techniques (supervised and unsupervised learning), time series analysis and experiment design
Strong analytical skills and facility with Excel (pivot tables, lookups, formulas & formatting).
SQL knowledge is a MUST.
Experience with statistical software (Matlab, SPSS, SAS, R) and programming software (.Net, Java, HTML 5, Python and HiveQL) is an added advantage.
Desire to learn new methods in data mining/manipulation.
Background in statistics, software engineering, data mining, database administration, or other quantitative discipline is highly valued.
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