Overview
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The Data Scientist will extract and analyze large datasets from a range of heterogeneous business applications, most importantly the electronic medical record EMR. Using statistical, artificial intelligence and machine learning tools and algorithms, the data scientist will discover and offer insights into the data. They will design, develop, build and validate predictive, machine learning and AI models based on requirements and communicate the results in an understandable manner, and once approved by the business, the algorithms and models will be deployed into the production.
Responsibilities
- Collaborate with the business stakeholders to document the business requirements, anticipated benefits, and success criteria for analytics initiatives
- Collaborate with subject matter experts to define the use case and to prepare an exhaustive set of potential features for analysis
- Perform feature engineering for optimization and dimensionality reduction
- Perform advanced descriptive and diagnostic analytics (Exploratory Data Analysis)
- Perform Data Profiling
- Extract, process, clean, and validate quality datasets
- Assist data engineers in implementing data pipelines
- Conduct Experiment Design
- Identify multiple predictive, machine learning and AI algorithms that potentially fit the business case
- Write general, reusable code for repeatable analysis
- Evaluate and tune the models using various performance and error measures, hyper-parameter tuning and cross validation techniques
- Select the final model based on performance
- Document and present the model findings to the business by explaining the model assumptions and validation methodologies
- Deploy the model by integrating it with the EMR or other business applications / systems
- Monitor the model for data and concept drift and retrain or tune the model as required
- Build visual interfaces with “what-if” functionality for business user interaction
Role Level Accountabilities
Adheres to CCAD’s standards as they appear in the Code of Conduct and Conflict of Interest policiesIn view of the evolving needs and opportunities within CCAD, this position may be required to perform other duties as assigned and reporting relationships may vary.Organization-wide Competency Assessment Requirements
All employees will embrace the CCAD mission, vision and values and be responsible for adhering to the core values of the institution, including : Patient’s First, Collaboration, Mutual Respect, Quality, Patient Safety, Integrity, Cultural Sensitivity and Compassion. All employees are also expected to meet the standards of performance outlined in the Organization-Wide Competencies listed below as applied to the position.
Customer Service OrientationAdaptabilityEfficiency and EffectivenessEssential Job RequirementsManagerial ResponsibilitiesEducation
Bachelors in a relevant field such as Statistics, Computer Science, Data Science, Mathematics, Physics; Masters in a relevant field such as Statistics, Computer Science, Data Science, Mathematics, Physics
Experience
5+ years 3+ years
Job Specific Skills and Abilities
Excellent oral and written communication skillsExperience with Principal Component Analysis and Linear Discriminant analysisExperience with Visual Analytics toolsExperience with Correlations, Clustering, Imputation, De-skewing, Normalization and Outlier AnalysisExperience with statistical analysis, Inferential statistics, hypothesis testing, Bayesian statistics, probability theory, Exploratory data analysis, Correlation - Regression analysis, design of experiments, sample size calculation etc.Experience with extracting data from database management systemsExperience with transformation and cleaning of both structured and unstructured dataExperience with Agile Software Development methodologiesExperience with Software EngineeringExperience in predictive modelling, Time series analysis, machine learning, neural networks, deep learning and reinforcement learningDeep knowledge of traditional ML concepts such as GLMs, GMMs, SVMs, random forest, regression, decision trees, and boostingExperience with AI models, Tensorflow, Open AI, LLMsExperience with MLOPS, LLMOPS, deploying models into productionExperience with User Interface (UI) developmentExperience with the following software : Cloud Platforms (Fabric, Azure, AWS, GCP), MS SQL Server, Azure Data Lake, Azure Synapse, MS SSIS, Azure Data Factory, SAS, SPSS, Minitab, GitHub, Databricks, Azure ML, Python / R and libraries, SQL, Spark SQL, TensorFlow, Keras, PyTorch, GANs, CNN, Caffe, Scikit-learn, Spark ML, Docker, Power BI, Tableau, Minitab, Excel, Shiny, Power AppsSeniority level
Mid-Senior levelEmployment type
Full-timeJob function
Information Technology and Quality AssuranceIndustries
Hospitals and Health CareBusiness Consulting and ServicesMedical PracticesReferrals increase your chances of interviewing at Cleveland Clinic Abu Dhabi by 2x. Get notified about new Data Scientist jobs in Abu Dhabi Emirate, United Arab Emirates .
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