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 build 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 of 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.

Key Requirements

•       Degree (Honours, Masters or PHD) in Statistics, Computer Science, Engineering, Mathematics and / or a combination of these.

•       Relevant data science certifications such as Python, Microsoft, AWS, Hadoop, big data, machine learning, cloud infrastructure.

•       A minimum of 5-6 years’ experience in data science related projects.

•       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.

•       Experience with SQL and working with large-scale data sets.

•       Knowledge and practical experience applying machine learning techniques.

•       Experience working in agile development teams.

•       Experience in operationalising data science solutions or similar product development.

•       Experience in a high-scale production environment is critical

•       Ability to provide detailed explanations (visually and verbally), representing information in the form of a chart, diagram, picture, using tools such as Kibana, Tableau, Power BI, etc.

•       Write programming code (python / java) based on a prepared design.

•       Understand leading edge technologies and best practice around Big Data, platforms and distributed data processing i.e. Hadoop ecosystem (distributed computational power)-HDFS/Spark/Kafka.

•       Ability to conceptualise and frame a problem, develop hypothesis and identify objective measures to estimate accuracy of machine learning/statistical processes and perform testing and validation with careful experiments.

•       Understanding of data flows, ETL and processing of structured and unstructured data within the data architecture.

Should you meet the requirements for this position, please email your CV to

it.jobs@mspstaffing.co.za. You can also contact the IT team on XXX-XXXX or visit our website at https://mspstaffingza.co

NOTE: When replying to the advert, include the reference number in the subject line.

Correspondence will only be conducted with short-listed candidates. Should you not hear from us within 3 days, please consider your application unsuccessful.