Data Scientist

In this job you will leverage advance statistical & analytical techniques to analyze data & extract things. You will also deliver effective presentations of findings & recommendations to a variety of stakeholders, creating visual displays of quantitative data, You will develop and automate various reporting systems and build statistics dashboard to provide insights at scale. In addition you will develop machine learning models to generate insights to support product feature development. 

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Mutaz Younes

Mutaz has joined Open Insights as a data scientist six months ago, during this short time, he participated in several data sciences related projects. He leveraged social network analysis and state-of-art machine learning algorithms to build a household identification model using telco data only. Also, he created visually impactful dashboards in Tableau to extract insights and analytics for one of the biggest telco providers.

Mutaz entered the AI world during his master’s study, he loved to know how these sophisticated models and algorithms work and how to leverage them in real-world problems. During his study, he published few research papers related to machine learning and natural language processing. Also, he worked as a teacher assistant at Jordan University of Science and Technology. 

 

 

 


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Fadi Tannous

Fadi leads the data science efforts at Open Insights, focused on leveraging open source technologies to deliver practical solutions with cutting edge performance. Fadi specializes in developing and maintaining distributed state-of-the-art machine learning solutions at enterprise scale. 

 Fadi has 5 years of experience designing algorithms in areas of natural language processing, content personalization, real-time recommendation engines and computer vision. Over those years, Fadi recruited, trained and led tens of data scientists focused on delivering incremental learning models and advanced analytical platforms. 

 Fadi led the initiative of building and delivering Analytics, Visualization and Data Science courses at a leading regional bank. He also piloted the development of an incremental sequence-aware hybrid recommendation engine that delivers real-time content personalization for a high-traffic E-Commerce website. He developed an advanced character recognition solution that tackles glare and visual irregularities using deep learning. 

 Fadi wrote his first program when he was 13 years old and has been hooked ever since. He also enjoys long hackathons, playing squash and traveling in his free time. He holds a bachelor’s degree in Computer Systems Engineering and a master’s degree in Artificial Intelligence from the University of Manchester.


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