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Data scientist

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Responsibilities

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• Work with cutting-edge data-driven solutions to client problems.

• Design and implement predictive statistical, machine learning, and optimization models to solve business problems.

• Develop, evaluate, and deploy new algorithms and methods.

• Understand clients’ processes and communicate your solutions and results to stakeholders and clients.

 

Qualifications

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• Bachelor’s Degree in an appropriate field of study or equivalent work experience

• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.

• Experience in using statistical computer languages ( Python, SLQ, etc.) to manipulate data and draw insights from large data sets

• A strong passion to identify and solve business problems using data science techniques

• Troubleshooting and analytical skills

• Good communication, storytelling, presentation, and collaboration skills

• A good team player

 

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