• Collect and extract large sets of structured and unstructured data from various sources such as databases, APIs, and web scraping.
• Clean and preprocess data to remove any inconsistencies, missing values, or errors to ensure the accuracy and reliability of the data.
• Use statistical, machine learning or deep learning techniques to analyze and model data to identify trends, patterns, and relationships to provide actionable insights.
• Use data visualization tools to create charts, graphs, and dashboards to communicate insights to stakeholders in a clear and concise manner.
• Develop predictive models using machine learning algorithms to forecast trends and future outcomes.
• Deploy models and systems developed, monitor and maintain them to ensure they are working effectively
• Document their processes and methodologies to ensure that their work is reproducible and can be audited.
• Work with cross-functional teams such as product managers, software engineers, and business analysts to identify business problems and develop solutions.
• Explain complex technical concepts to non-technical stakeholders in a clear and concise manner.
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