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- Understanding business objectives and developing AI solutions that help to achieve them, along with metrics to track their progress.
- Prepare, clean, and preprocess data for analysis.
- Analyze data quality and proactively address issues.
- Develop data-driven algorithms for clustering, classification, regression, and optimization.
- Evaluate AI solutions aligned with business objectives.
- Deploy and manage AI models in production.
- Identify differences in data distribution that could potentially affect model performance in real-world applications.
- Analyzing the errors of AI models and designing strategies to overcome them.
- Maintain and enhance existing solutions to meet evolving business needs.
- Visualize and communicate results analysis effectively.
- Present ideas, plans, and findings orally and in written reports.
- Collaborate with data scientists, data engineers, and software engineers on production applications.
Senior Data Scientist Machine Learning - Abu Dhabi, United Arab Emirates - G42
