Senior Data Scientist

Mediclinic Southern Africa Cor, Stellenbosch, ZA, Du Toit St

Mediclinic

Mediclinic is focused on providing acute-care, specialist-orientated, multi-disciplinary healthcare services. The Group takes a sustainable, long-term approach to business, putting patients at the heart of its operations and consistently...

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Mediclinic Southern Africa Corporate Office | Stellenbosch | South Africa 


Closing date: 15/11/2024  
Number of positions: 1 
Recruiter name: Fiona Simone Anderson  
Reference number: 55244  
 Workplace Type: Hybrid
Permanent

Please note if you are an internal employee on a fixed term contract please apply using an external candidate profile and not your employee profile

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
  • Statistical and machine learning model maintenance and enhancement
  • Promote the adoption of advanced data science and analytics across the organisation
  • Support and leverage data management
  • Mentor, develop and advise of Data Scientists

REQUIRED EDUCATION

ESSENTIAL EDUCATION

  • Master’s degree in mathematics, statistics, data science or related quantitative field

DESIRED EDUCATION

  • PhD in mathematics, statistics, data science or related quantitative field

REQUIRED EXPERIENCE

ESSENTIAL MINIMUM EXPERIENCE

  • 6-8 years’ relevant working experience in data science building and implementing predictive models

DESIRED EXPERIENCE

  • Experience in the healthcare industry

REQUIRED JOB SKILLS AND KNOWLEDGE

  • Data science, mathematics, statistics, curiosity and creative problem solving
  • Derive value from analytical output by explaining insights in layman’s terms
  • Advanced analytics and understanding of machine learning algorithms e.g. Neural networks, boosting methods, clustering and random forest models
  • Abreast with the latest developments in AI/ML, Data & Digital innovation and the resulting implications for the organization and healthcare industry
  • Programming skills in scripting languages such as SAS, R, Python and SQL
  • Proficient in Data Storytelling (analysing, explaining findings, and articulating business implications)
  • Presentation skills (Tableau, SAS Visual Analytics, Power BI) to audiences from all levels of the company
  • Subject Matter Expertise on all aspects of AI and ML. Can identify appropriate techniques/solutions for business & data problems
  • Proficient in prescribed Mediclinic scripting languages, and can teach, review and optimize code written in these languages
  • Knowledge of the Healthcare industry and related trends
  • Critical and analytical thinking skills and inquisitiveness to discover patterns with data
  • Managing data-driven projects that drive business value
  • 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
  • Strong interpersonal and relationship building skills

All applicants will be considered, with the understanding that preference will be given in accordance with the Employment Equity Plan of Mediclinic Southern Africa, as well as internal applicants/employees that meet the minimum requirements.

Please note if you are an internal employee on a fixed term contract please apply using an external candidate profile and not your employee profile

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Clustering Data management Machine Learning Mathematics Open Source PhD Power BI Python R Research SAS SQL Statistics Tableau

Region: Africa
Country: South Africa

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