Senior Data Scientist - Right to Care NPC, Centurion

  • Centurion
  • Salary: Market Related
  • Job Type: Permanent
  • Posted by Right to Care NPC on Friday, February 14, 2020
  • Reference: 1655833
  • Apply before Tuesday, April 14, 2020 - 54 Days left

Vacancy Details

Employer: Right to Care NPC

The Senior Data Scientist position falls within the Analytics Unit in the Right to Care (RTC) Strategic Information Department.  The Analytics unit is a small team that has recently been formed at RTC and is expected to increase in size. The Analytics department works with RTC’s programs by conducting data analysis to provide solutions that will improve program performance. The analysis conducted is ad-hoc analysis for immediate organisational needs, and longer-term projects that are translated into actionable insights. Where possible, the Analytics unit publishes scientific papers and presents its work at conferences. The candidate would be required to collaborate with RTCs partner in research and cost evaluation. The Analytics unit also works closely with a partner that helps the organisation with data engineering activities, descriptive analysis and high frequency reporting as required. The candidate would need to leverage off this partnership to strengthen the overall data system within RTC. The candidate will also be responsible for evaluating current programs’ interventions to determine their effectiveness and cost efficiency. The Senior Data Scientist will occasionally work closely with the internal Business Development unit by providing in analysis to assist in grant writing. The analysis will often require research and the summarising of data into an easy to understand format. The end goal of this position is to use data analytics to improve patient outcomes across the countries that RTC operates in.

Development, enhancement of data use and analysis plans

Enhance and strengthen RTC data use framework and promote benefits of data driven decision making that contributes to continuous quality improvement of systems in programmes and projects.

▪ Conducting routine and ad-hoc data analysis

Extraction, verification, cleaning, engineering and wrangling data before data analysis.

Conduct data analysis and visualisation and provide comprehensive reports or presentations as required for internal and external reporting requirements.

▪ Data management and reporting

Prepare automated data for stakeholder presentations, reports and analyses as required.

▪ Enhancing analytics department

Create scripts to extract automated data views from RTC Qode Knowledge centre and/or other sources that can be used for modelling and analysis.

Assist the Business Development unit in data analysis and writing for grant submissions

▪ Advanced Predictive modelling

Design and implement Machine Learning and Artificial Intelligence algorithms for automated and ad-hoc analysis

Candidate Requirements

▪ Candidates must have a Degree in Computer Science, Engineering, Mathematics, Statistics or another relevant field.

▪ 3+ years’ experience in data engineering, descriptive analytics and predictive analytics

▪ Experience with developing Machine Learning & AI models.

▪ Experience with analysing large datasets and developing customized reporting.

▪ Intermediate skills with SQL, R, Python or other relevant software.

▪ Must be computer literate and must be able to use Windows, MS Office, PowerPoint, and Excel.

▪ At least 5 years’ experience in data science.

▪ Experience performing analytical projects that lead to an actionable change within an organisation.

▪ Experience creating compelling and meaningful visualizations and reports

▪ Must have valid driver’s licence.

▪ Must have valid passport and be available to occasionally travel at short notice to remote locations within and outside of South Africa, including countries like Zambia, Nigeria and more.

Apply before Tuesday, April 14, 2020 - 54 Days left Companies may expire jobs at their own discretion. If you have not received a response within two weeks, your application was most likely unsuccessful.
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