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This role will be responsible for the application of data engineering methods, which include data engineering, analytics, data architecting, big data, machine learning, deep learning, artificial intelligence, predictive analytics to meet the company’s business interests as well as that of our esteemed clients.
In this role, you will assist in the development of data platforms and product development, to identify key business questions through data collection and using a wide range of statistical, machine learning and applied mathematical techniques to deliver insights to decisionmakers.Support the CTO/lead data scientist using a variety of state-of-the-art open-source and cloud-based technologies to solve data analysis and prediction problems.Identify and act on new opportunities for data-driven business in data science and analytics.Work in a collaborative environment developing data science methods, tools and solving problems.Work on newest tools and technologies to achieve results.Troubleshoot data quality issues and work with team members to reach solutions.Create visualizations, including dashboards to provide insights on large data sets and input to finished reports.Participate in continuous improvement efforts to increase available data quality and speed of delivery.Certifications or accreditations in AWS cloud technologies, foundational, cloud practitioner through to associate, architect and specialist level.Exposure to data visualization tools such as Power BI or Amazon QuickSight.Ability to visualize data using various tools.Ability to communicate with stakeholders and clients.Ability to work as part of a team, with vastly differing skill sets and opinions.
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