Senior Data Scientist Statistical Modeling & Machine Learning
Data Science Analytics & Machine Learning
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Job Description
Role: Senior Data Scientist – Statistical Modeling & Machine Learning
Location: Abu Dhabi office (we need UAE based candidates only)
About The Role
Our client, a global Amazon Consulting Partner with distributed teams across the US, Canada, UAE, KSA, India, and Pakistan, is hiring a Senior Data Scientist – Statistical Modeling & Machine Learning.
Data Scientist
We are looking for a Senior Data Scientist – Statistical Modeling & Machine Learning with 10+ years of experience in statistical modeling, machine learning, and advanced data analysis. The ideal candidate should have strong experience working with large datasets, developing sophisticated analytical models, and translating complex data into actionable business insights.
Key Responsibilities
- Analyze large and complex datasets to identify trends, patterns, and actionable insights.
- Develop and apply statistical models and machine learning algorithms.
- Build, evaluate, and optimize predictive and analytical models.
- Perform data preprocessing, feature engineering, and exploratory data analysis.
- Extract and communicate meaningful insights from complex datasets.
- Work with business and technical stakeholders to translate requirements into data-driven solutions.
- Present analytical findings through clear reports, dashboards, and visualizations.
- Work on UAE Government initiatives
- Lead cutting-edge global projects at enterprise scale
- Collaborate with senior teams across US, Canada, UAE, KSA India, and Pakistan
- Competitive compensation + long-term career roadmap
Skills: datasets,statistical modeling,analytical models,machine learning
Skills
Data AnalysisMachine LearningStatistical ModelingData ScientistFeature EngineeringIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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