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Overview
We are seeking a Data Scientist to join our Technol Oversight Coord Business Support Division – Digitalization & Analytics Group.
The Digitalization & Analytics Group is responsible for driving business excellence by leveraging data-driven insights to optimize operations and inform strategic decision-making. As a key function within the organization, the Digitalization & Analytics Group is dedicated to advancing digitalization, seeking to enhance overall performance by digitalizing, automating and connecting various business processes, leveraging advanced technologies, and integrating AI capabilities to uncover new insights.
Your primary role is to leverage your expertise to enhance data visualization and interpretation, ensuring stakeholders and decision-makers have access to critical insights. Additionally, you will employ AI modeling and integration techniques to extract meaningful patterns and predictions from vast datasets, empowering informed decision-making and driving organizational success.
Key Responsibilities
As a successful candidate you will be required to perform the following:
- Automate and digitalize the organization’s business processes
- Develop and deploy AI-powered tools capable of understanding natural language queries related to the business data
- Create Dashboards (i.e. Data Visualization) using multiple platforms available in the market
- Provide support in maintenance, customization and integration of existing dashboards, digital solutions and websites with Corporate Solutions.
- Perform business analytical prediction modeling using existing data to support in decision making.
- Collaborate with stakeholders to develop data-driven business cases to support strategic initiatives, investments, and resource allocation decisions.
Minimum requirements
- You will hold a Bachelor’s degree in a Computer Science, Mathematics, Computing, Data Science or AI.
- You will have a min of 5 years’ experience in related field
- You will have advanced programming proficiency in languages such as Python, SQL, PowerQuery, JavaScript.
Key Skills
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