Job Title: Data Scientist
Location: Jordan

Introduction:
The ideal candidate must be able to work with large datasets with strong experience using a variety of data mining/data analysis methods (familiar with some technology providers and solutions in the market), using a variety of data tools, building, and implementing Data models, using/creating algorithms, Machine learning models and creating/running simulations. Must have a proven ability to drive business results with their data-based insights and have data storytelling capabilities.
They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.  

Core Requirements:
• 2-4 years of experience in data analytics and machine learning
• Experience using statistical computer languages (R, Python, SQL, etc.)
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world   advantages     /drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience querying databases and using statistical computer languages: R, Python, SQL,etc.
• Knowledge and experience in descriptive, predictive, and prescriptive analytics.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience in visualizing data using Python, R, or BI tools.
• Any certificate in the same field is a plus.
• Bachelor’s degree in Statistics, Mathematics, or Computer
• Fluent in English & Arabic

Certification (as a plus):
• Microsoft Certified: Azure Data Scientist Associate
• SAS Certified AI & Machine Learning Professional
• Tensorflow Developer Certificate
• IBM Data Science Professional Certificate
• Dell EMC Data Science Track (EMCDS)
• Alteryx / Dataiku certifications

Tools & Solutions Familiarity:
• Microsoft SSIS, SSAS, SSRS (to show familiarity dealing with a data pipeline and ETL)
• Alteryx, Dataiku, SAS, IBM Watson or similar (this is an important pre-requisite)
• Power BI, Tableau, Qlik (Data Visualization knowledge)
• Informatica ETL, Axon, EDC etc. (or similar solutions like Collibra) (familiarity in Data Management platforms)

If you find this position matching your skills, please apply for the role or drop your CVs on sayali.kothmire@nesfircroft.com

With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.