Data Scientist - Amplify Health at Discovery Limited

How you would make a difference

• Work within a highly specialized and growing team to enable delivery of data and advanced analytics system capability.
• Collaboratively design, specify and implement a full stack healthcare analytics solution underpinned by a project delivery focus
• Connecting with a multitude of stakeholders to understand the data, systems, and analytical architecture in a healthcare context
• Understand healthcare business pipeline and assess where scalable healthcare analytics can enhance the pipeline
• Devise strategy around roll out of healthcare analytics
• Specify software and hardware decision making framework
• Understanding large structured and unstructured datasets to recommend improvement to algorithms and technologies
• Understand meta-data management systems and orchestration architecture in the designing of ML/AI pipelines
• Research and application of the most up to date analytics, machine learning and AI techniques
• Work with a range of stakeholders to ensure to present and apply insights effectively in the environment
• Monitoring model performance
• Improve processes and databases where opportunities arise

What you need to be successful

• Honours or Master’s degree in BSc Computer Science or Engineering or Software Engineering with solid experience in data mining and machine learning
• 5 to 15 years of work experience
• Expert in programming languages such as R, Python, Scala and Java
• Understanding and application of Big Data and distributed computing principles (Hadoop and MapReduce)
• Strong analytical and statistical knowledge with an understanding of the latest machine learning algorithms for both structured and unstructured data
• Strong ability to communicate findings and recommendations from data (visual, verbal and written)
• Production environment machine learning and AI
• DevOps/DataOps and CI/CD experience
• Proficient understanding data manipulation skills including SQL to extract, transform and load data
• Azure experienced preferred