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Data Scientist

Job Description
• Data mining or extracting usable data from valuable data sources.
• Using machine learning tools to select features, create and optimize classifiers.
• Carrying out preprocessing of structured and unstructured data.
• Enhancing data collection procedures to include all relevant information for developing analytic systems.
• Processing, cleansing, and validating the integrity of data to be used for analysis.
• Analyzing large amounts of information to find patterns and solutions.
• Developing prediction systems and machine learning algorithms.
• Presenting results in a clear manner.
• Propose solutions and strategies to tackle business challenges.
• Collaborate with Business and IT teams.

Qualifications & Requirements
• Bachelors in Math, Statistics, Computer science, or Engineering.
• Exposure to data science through relevant projects, courses, or competitions.
• Machine learning models such as random forests, gradient-boosted trees, or neural networks.
• Hands-on experience: Python - Pandas, Numpy, Scikit learn SQL.
• Knowledge in at least one of the following areas is a plus: Natural Language Processing, Computer VisionI, information Retrieval - Search & Recommendations, Fraud detection, Time-series analysis and modelling, and Cloud computing for ML..
• Collaborative team player.
• Intellectually curious and always learning.