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- Bachelors Degree in Computer Scienceor related field
- Strong background instatistics, mathematics, and computer science, with a focus onmachine learning and data science.
- Proficiencyin programming languages such as Python or R, and experience withrelevant libraries and frameworks (e.g., TensorFlow, PyTorch,scikit-learn).
- Solid understanding of machinelearning techniques, such as regression, classification,clustering, natural language processing, deep learning, andreinforcement learning.
- Experience with datamanipulation and analysis using SQL and/or NoSQL databases. Abilityto preprocess and clean data, handle missing values, and performfeature engineering.
- Proficiency in datavisualization tools (e.g., Matplotlib, Seaborn, Tableau) toeffectively communicate insights.
- Knowledge ofcloud platforms (e.g., AWS, Azure, Google Cloud) and experiencewith distributed computing frameworks (e.g., Hadoop, Spark) is aplus.
- Strong problem-solving skills and theability to develop innovative solutions to complex businesschallenges.
- Excellent communication skills withthe ability to present complex findings in a clear andunderstandable manner to both technical and non-technicalstakeholders.
- Strong attention to detail, withthe ability to work independently and manage multiple projectssimultaneously.
Data ScienceMachine Learning Engineer - Dubai, United Arab Emirates - PROCTER & GAMBLE
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