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The Data Analytics Engineer role will focus on requirements and architecting the solutions based on Advanced Data Analytics. This role shall engage with project teams to plan, setup and execute requirements capture and management capabilities.

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

Required Technical Skills/Education:

-Excellent understanding of data mining , machine learning techniques, Gen AI and algorithms

Knowledge on statistical programming languages, Python, SQL, etc., to process data and gain insights from it

Strong coding experience: Python

- 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 - AWS, Azure, GCP

- 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 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.

  • This candidate must be highly motivated, organized, self-driven, and able to function in a global team environment (USA, China, India, and Europe) and demonstrate problem solving and analytical thinking skills

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