Senior Data Scientist at Mediclinic

Job Description

The Group is focused on providing specialist-orientated, multidisciplinary services across the continuum of care in such a way that the Group will be regarded as the most respected and trusted provider of healthcare services by patients, medical practitioners, funders and regulators of healthcare in each of its markets.

MAIN PURPOSE OF JOB

To use business data, visualisation and statistical methods to conduct analysis and provide insight and foresight into business performance; suggest analytical approaches and methodologies of improving operational performance; research, design and implement state of the art machine learning solutions to enhance the business.

KEY RESPONSIBILITY AREAS

• Support relevant business stakeholders through the application of advanced analytics, statistical modelling and machine learning
• Maintain and enhance statistical and machine learning models
• Promote the adoption of advanced data science and analytics across the organisation
• Support and leverage data management
• Mentor, develop and advise Data Scientists

Required Education

• B.sc Hons with 7 years relevant experience
• Or Masters Degree with 5 years relevant experience
• Or Ph.D. with 2 years relevant experience

Required Experience

ESSENTIAL MINIMUM EXPERIENCE: relevant working experience in data science building and implementing predictive models

DESIRED EXPERIENCE: Experience in the healthcare industry

Required Job Skills And Knowledge

• Advanced analytics and understanding of machine learning algorithms e.g. Neural networks, boosting methods, clustering and random forest models
• Critical and anlytical thinking skills and inquisitiveness to discover patterns with data
• Data science, mathematics, statistics, curiosity and creative problem solving
• Derive value from analytical output by explaining insights in layman’s terms
• Exceptionally good computer skills and all-around technologically adept
• Knowledge and ability to build and deploy machine learning solutions using open-source and cloud technologies
• Knowledge of the Healthcare industry and related trends
• Managing data-driven projects that drive business value
• Presentation and data storytelling skills (Tableau, SAS Visual Analytics, Power BI) to audiences from all levels of the company
• Programming skills in scripting languages such as SAS, R, Python and SQL