Expert Data Scientist
4 days ago
- 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
- Causal Inference, Bayesian Optimization, Technical Geospatial and Analysis Methodologies
- 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
- Coordinate with 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
- Must have a Bachelor's degree in Statistics/Computer Science or equivalent
- At least 7 years of practical experience in data science, including Data Analytics and Machine Learning
- Experience in querying databases and using statistical programming languages SQL, Python, R, etc.
- Familiarity with a variety of machine learning techniques including Decision Trees and Clustering
- Knowledge of advanced statistical techniques and concepts, including Properties of Distributions and Regression
- Experience in statistical and data mining techniques: Random Forest, GLM/Regression, Social Network Analysis, Text Mining
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, and neural networks
- Experience analyzing data from third-party providers such as Coremetrics, Site Catalyst, Google Analytics, 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
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