Experienced Data Science & Analytics professional. Creating data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets. Analysis may be applied to various areas of the business (e.g., Market Economics, Supply Chain, Marketing/Advertising, Scientific Research, etc.).
Our client is seeking a Lead Engineer for Data Analytics and Machine Learning within the Systems & Solutions Engineering organization.
This Lead Engineer role will have the responsibility to support the definition and execution of data analytics within Fire & Security product lines.
Responsibilities:
Collect data from IoT platform, perform data quality check and filtering techniques
Organize large-scale data to the required formats for data analysis for different service business use cases.
Data mining using state-of-the-art methods
Selecting features, building and optimizing classifiers using machine learning techniques
Enhancing data collection procedures to include information that is relevant for building analytic systems
Develop tools of visualization and dashboard to illustrate the data analysis results.
Deploy analytics algorithms to the cloud-based IoT platform (e.g., Microsoft Azure, PTC, AWS etc.).
Support the development of end-to-end cloud-based analytics solution implementation
Requirements:
Excellent understanding of data mining, machine learning techniques and algorithms
Knowledge on statistical programming languages, including but not limited to R, Python, SLQ, etc., to process data and gain insights from it
Strong coding experience: C/C++, Python, Java, JavaScript, etc.
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