Data Scientist (Electromagnetic Environment)
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Data Scientist
About this role
| Job Title | Data Scientist |
| Location (s) | Dubai |
| Years of Experience | 5-8yrs |
| Job Description | • Experience of implementing data science based solutions at at enterprise level is mandatory. • Python,R, TensorFlow, PyTorch, SQL, AWS Cloud Platform, SageMaker, BedRock, Gen AI Frameworks and models, • Strong traditional Machine Learning experience mandatory, • Preditive analytics, Classification/Probability algorithms • Develop a comprehensive data science strategy for the organization by aligning data initiatives with business goals, identifying key data sources, establishing data governance and management practices, implementing advanced analytics and machine learning solutions, and fostering a data-driven culture to drive innovation and decision-making • Collaborate with business stakeholders to define problem statements, set clear expected outcomes using data science and artificial intelligence, and identify actionable business benefits and opportunities • Examine extensive datasets to identify significant trends, patterns, and correlations that can provide valuable insights and inform strategic decision-making. • Apply statistical techniques, data visualization, and analytical tools to uncover underlying relationships and actionable information from complex and voluminous data • Build and refine predictive models, implement machine learning algorithms, and assess their performance to provide actionable insights and forecasts. • In model building and evaluation, engineer features and select relevant variables, develop and train predictive models, and then evaluate their performance using appropriate metrics • Optimize data science workflows to enhance efficiency and continuously improve the accuracy of predictions by streamlining processes, adopting best practices, and iterating on model performance through regular updates and refinements. This involves automating tasks, improving data quality, and implementing advanced techniques to ensure precise and actionable outcomes • Continuously monitor the performance of deployed models, identifying any degradation in accuracy or relevance and taking necessary steps to retrain or fine-tune them as needed. • Conduct regular data quality assessments, implementing procedures and tools to ensure the accuracy, completeness, and consistency of data used for analysis and modeling. • Foster a data-driven culture within the organization, continuously improving data science processes by adopting new technologies, exploring innovative methodologies, and refining models for better results. |
| • Experience of implementing data science based solutions at at enterprise level is mandatory. • Python,R, TensorFlow, PyTorch, SQL, AWS Cloud Platform, SageMaker, BedRock, Gen AI Frameworks and models, • Strong traditional Machine Learning experience mandatory, • Preditive analytics, Classification/Probability algorithms • Develop a comprehensive data science strategy for the organization by aligning data initiatives with business goals, identifying key data sources, establishing data governance and management practices, implementing advanced analytics and machine learning solutions, and fostering a data-driven culture to drive innovation and decision-making • Collaborate with business stakeholders to define problem statements, set clear expected outcomes using data science and artificial intelligence, and identify actionable business benefits and opportunities • Examine extensive datasets to identify significant trends, patterns, and correlations that can provide valuable insights and inform strategic decision-making. • Apply statistical techniques, data visualization, and analytical tools to uncover underlying relationships and actionable information from complex and voluminous data • Build and refine predictive models, implement machine learning algorithms, and assess their performance to provide actionable insights and forecasts. • In model building and evaluation, engineer features and select relevant variables, develop and train predictive models, and then evaluate their performance using appropriate metrics • Optimize data science workflows to enhance efficiency and continuously improve the accuracy of predictions by streamlining processes, adopting best practices, and iterating on model performance through regular updates and refinements. This involves automating tasks, improving data quality, and implementing advanced techniques to ensure precise and actionable outcomes • Continuously monitor the performance of deployed models, identifying any degradation in accuracy or relevance and taking necessary steps to retrain or fine-tune them as needed. • Conduct regular data quality assessments, implementing procedures and tools to ensure the accuracy, completeness, and consistency of data used for analysis and modeling. • Foster a data-driven culture within the organization, continuously improving data science processes by adopting new technologies, exploring innovative methodologies, and refining models for better results. |
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| Technical Qualifications |
data Science, Machine learning |
Frequently Asked Questions
Is the salary disclosed for the Data Scientist position at IBS Career Portal?
The salary for this Data Scientist role at IBS Career Portal is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Scientist position at IBS Career Portal located?
This Data Scientist role at IBS Career Portal is based in United Arab Emirates. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Data Scientist position at IBS Career Portal?
Click the "Apply Now" button on this page. You will be redirected to IBS Career Portal's official application portal hosted on oraclecloud where you can submit your application directly.
When was the Data Scientist job at IBS Career Portal posted?
This Data Scientist position at IBS Career Portal was posted on Jun 16, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Scientist
IBS Career Portal
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