Expert Data Scientist

Responsibilities

• Help create analytics solutions from developing and delivering code and models, to finding meaningful insights in results, and translating them into actionable plans for stakeholders.
• Work with stakeholders to identify opportunities to benefit from university data to develop business solutions.
• Craft solutions tailored to client needs using programming languages such as R and Python and platforms
• Causal Inference, Bayesian Optimization, Technical Geospatial and Analysis Methodologies such as
• .Analytics, Natural Language Processing
• Exploration and analysis of data from databases to improve and develop services and business strategies.
• Evaluate the effectiveness and accuracy of new data sources and data collection techniques.
• Develop custom data models and algorithms to apply to datasets.
• Coordinating with the different work teams to implement the models and monitor the results.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Present information using data visualization techniques.

Requirements

• Must have a Bachelor's degree in Statistics/Computer Science or equivalent.
• Data Analytics and Machine Learning. At least 7 years of practical experience in data science. 7.2.2.
• Experience in querying databases and using statistical programming languages SLQ, Python, R, etc.
• Decision Tree Clustering, such as Machine Learning Familiarity with a variety of machine learning techniques 7.2.4
• .Artificial Neural Networks, Learning
• Knowledge of advanced statistical techniques and concepts, Properties of Distributions, Regression.
• Knowledge and experience in statistical and data mining techniques: Random Forest, GLM/Regression,
• Etc., Social Network Analysis, Text Mining, Trees, Boosting
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling,
• Regression, Simulation, Scenario Analysis, Clustering, Decision Trees, and Neural Networks
• .Modeling, Clustering, Decision Trees, Neural Networks
• Coremetrics, Site Catalyst, Google Analytics: Experience analyzing data from third party providers 7.2.8
• etc., Facebook Insights, Crimson Hexagon, Adwords
• Experience in data visualization using Python, R or BI tools.
• Must hold at least one professional certification in data science.
• Excellent verbal and written communication skills in Arabic and English.
• Professional problem solving ability.