Data Analytics and Machine Learning-Senior/Lead Engineer

Key Skills

JavaScript, Microsoft-Excel, Java Programming, Python Programming, C++, C Programming, SQL, Azure, NumPy, Pandas, SciPy, TensorFlow, Scikit-learn, Algorithms, matplotlib, seaborn, plotly, Large scale data processing

Job Description

Carrier Corporation 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.

Specific responsibilities for this position will be:

• 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.

Education

• Master’s degree in Computer Science, Statistics, Math, or Engineering with 5 years of experience

Experience/Qualifications

• Required Technical Skills/Education:

  -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.
• Solid background in database management tools such as SQL
• 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.
• Basic understanding of building Fire safety and security systems a plus

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 dataset using 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, SALib.
• Familiar with vectorized implementation of analytics algorithms.
• Experience with developing end-to-end analytics solution using Python or cloud-based implementation is a plus.