Data Scientist

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Requirements:

• Degree in computer, industrial, mathematics engineering, applied mathematics, or related data-centric areas.
• 3-5 years of hands-on experience in data science.
• Experience in building machine learning models with Python for business use cases.
• Extensive SQL experience.
• Proficiency in Python and data analysis libraries (Pandas, Numpy, Scikit-learn).
• Understanding of the Data Science model development lifecycle.
• Hands-on experience with machine learning models and optimization algorithms.
• Experience with big data technologies (Apache Spark, Hadoop, etc.).
• Preferred experience with deep learning frameworks (TensorFlow, Keras, PyTorch).
• Preferred experience with distributed/GPU programming.
• Preferred big data and cloud experience (Azure, AWS).

Responsibilities:

• Understand business objectives and data requirements to develop analytical solutions.
• Manage data analysis processes and prepare datasets for analysis.
• Process large datasets using big data technologies.
• Create predictions, classifications, and clusters using machine learning algorithms.
• Present and communicate data results through effective visualizations.