Data Scientist (Consultant) at Think South Africa

Duties and Responsibilities include but are not limited to : 

• Collaborate with cross-functional teams, including healthcare professionals, and IT, to understand data requirements and visualisation objectives.
• Design and implement an interactive data visualisation system that effectively presents complex health data to various stakeholders, enabling them to make informed decisions.
• Develop and maintain a user-friendly web-based data repository that houses health-related datasets, ensuring data integrity, security, and accessibility.
• Clean, preprocess, and transform raw data from diverse sources into formats suitable for visualisation and analysis.
• Utilise advanced data visualisation techniques and tools to create compelling and insightful visual representations of health data trends, patterns, and insights.
• Work closely with domain experts to identify key performance indicators (KPIs) and metrics relevant to healthcare decision-making, and translate them into visual components.
• Collaborate with the IT team to ensure seamless integration of data visualisation solutions with existing systems and infrastructure.
• Stay up-to-date with the latest advancements in data visualisation technologies and methodologies, and apply them to enhance the organisations data visualisation capabilities.
• Conduct training sessions and workshops to enhance the data literacy of internal and external stakeholders, enabling them to effectively navigate and interpret visualised health data as required.
• Contribute to the development of data-driven strategies that address healthcare challenges, improve patient outcomes, and support evidence-based policymaking.

Requirements:

• Honours or Masters degree in data science or Information Technology.
• Minimum  3 - 5 years’ experience in the data analytics environment.
• Proven experience as a Data Scientist or Data Analyst.
• Experience in data mining.
• Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an advantage.
• Experience using business intelligence tools (e.g. Power BI, Tableau) and data frameworks (essential).
• Proficiency in MS Office 365 with well-developed Excel skills (essential).
• Excellent communication and presentation skills.