Statistical analysis: Identifying patterns in data. Forecast of patterns and anomalies.
Machine Learning: Implementing algorithms and statistical models to enable computers to automatically learn from data.
Computer science: Artificial intelligence, database systems, application of human / computer principles.
Programming: Analyzing large data sets to find answers to complex problems. Implement pre-processing of structured and unstructured data. Convenient code writing and processing skills in various languages such as Python and SQL.
Data storytelling: Providing information that can be applied to non-technical audiences using data.
Business intuition: Contact a shareholder to get a full understanding of the problems they want to solve.
Analytical thinking: Finding analytical solutions to abstract business problems.
Critical thinking: Applying objective analysis of facts before concluding.
Interpersonal skills: Communicating between different audiences at all levels of the organization.
Basic Requirements:
BSc / BA in Computer Science, Computer Engineering, Mathematics or related field; A master's degree in Information Science or other quantitative field is preferred
Proven experience as a Data Scientist
Experience in applying solutions based on artificial intelligence (NLP, image classification, speech-to-text, etc.)