Data Analytics Engineer

Excellent understanding of data mining, machine learning techniques and algorithms
Knowledge of 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.
Solid background in database management tools such as SQL
A broad set of technical skills and expertise in machine learning focused on cutting-edge technologies such as IoT, artificial intelligence (AI), and cloud computing.
Familiar with IoT framework and experience in implementing analytics algorithms in any of the cloud-based platforms – Azure, PTC, AWS.
Fluent English (both written and spoken), solid technical writing, presentation and communication skills.
Good understanding of control systems
Preferred Technical Skills/Education:
Strong hands-on experience in an analytics environment and applications.
Strong hands-on experience in collecting, filtering, organizing, and analyzing large-scale datasets using a cloud-based platform.
Strong hands-on experience in implementing analytics algorithms to cloud-based IoT platforms (Microsoft Azure preferred).
Strong hands-on experience with the following libraries from Python: Pandas, Numpy, Scipy, Scikit-Learn, TensorFlow, Matplotlib, Seaborn, Plotly, and SALib.
Familiar with the vectorized implementation of analytics algorithms. – Experience with developing end-to-end analytics solutions using Python or cloud-based implementation is a plus