Data Scientist Sandton - Integrita Group

Description

Data Scientist

The Data Scientist will support the Data Science and Analytics team in creating and enabling data-driven measurement insights monitoring and decision support.

This individual will add value to business areas by providing insights applying data science to inform and optimise decision making and building automated predictive and prescriptive analytics solutions that support various business functions and address healthcare challenges.

The role requires involvement in the whole data science development process including gaining a business understanding defining the problem data cleansing and feature engineering business modelling and simulation hypothesis generation and testing machine learning model training testing and refinement and finally deployment and monitoring of predicted outcomes within the business solutions.

Duties Responsibilities

1. Identify and test innovative data science techniques that can be utilised in predictive analytics solutions across the Company.
2. Assist with research on trends in Data Science specifically for the application in the healthcare industry.
3. Engage with business stakeholders in the discovery process to identify the business problem opportunity elicit requirements and discuss the expected outcomes of modelling solutions.
4. Partner with business stakeholders to define approaches to resolving key business problems and focus on the development of new business strategies.
5. Assist in developing conceptual designs or models to address business requirements.
6. Collaborate with subject matter experts to select the relevant sources of data and understand the business requirements to ensure that the models are delivered in an appropriate manner.
7. Partner with the Data Engineering team to obtain internal and external information and manage data utilisation.
8. Perform pre-processing of data which includes tasks such as data manipulation transformation normalisation standardisation visualisation and features engineering.
9. Review existing data analytics solutions code and/or models measure quality and identify potential improvements.
10. Use data profiling and visualisation to understand and explain data characteristics that will inform modelling approaches.
11. Identify and implement the appropriate data mining/statistics/machine learning techniques.
12. Implement predictive models on large datasets including distributed parallel computation platforms such as Spark.
13. Perform business modelling that translates decisions and business processes into a computational model.
14. Validate and test analysis/models using appropriate techniques back testing A/B testing scenario modelling etc.
15. Implement models using Company standard processes and techniques.
16. Monitor and maintain models with specific focus on model performance and the results being fit for purpose.
17. Ensure full compliance to statutory regulations policies procedures best practice and professional standards in line with the Company strategy.
18. Review and update all policies relating to data science.
19. Communicate findings to business with various skill levels and in various roles presenting trends correlations and patterns found in complicated datasets in a manner that clearly and concisely conveys meaningful insights and defends recommendations.
20. Generate concise reports with relevant visualisations and commentary for management.

Desired Experience Qualification

Education

1. Degree Honours Masters or PhD in Statistics Computer Science Engineering Mathematics and/or a combination of these.
2. Relevant data science certifications such as Python Microsoft AWS Hadoop big data machine learning cloud infrastructure.
3. A minimum of 5-6 years experience in data science related projects.
4. Experience with Python/Microsoft ML and tools available within the machine learning ecosystem i.e. NumPy pandas matplotlib SciPy stack and working in Jupyter notebooks.
5. Experience with SQL and working with large-scale data sets.
6. Knowledge and practical experience applying machine learning techniques.
7. Experience working in agile development teams.
8. Experience in operationalising data science solutions or similar product development.
9. Experience in a high-scale production environment is critical.

Package Remuneration

R60000 – R66000 pm CTC

Medical aid + Pension included