The role entails building and recommending a foundational and sustainable data science system and architecture while considering the current environment. A key focus on scalability, abstraction and frameworks are crucial to succeed in the role. The role will initially build components and systems on the ground while still envision a long-term and sustainable architectural structure. The team is expected to scale rapidly with different leadership roles available.
Core responsibilities include:
• 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 8 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 preferred
• Proficient understanding data manipulation skills including SQL to extract, transform and load data
• Azure experienced preferred
Desired Skills:
- DevOps
- DataOps
- CI/CD
- AI
- R
- Python
- Scala
About The Employer:
Reverside is a Global ICT company focusing on Digital Engineering, Integration, Cyber-Security, Cloud and Digital Transformation services with delivery centres in Johannesburg and Cape Town, South Africa and Gurgaon, India. Reverside has its Global Headquarter in South Africa and is a B-BBEE Level 1 IT consulting & services organization. Reverside was founded in 2006 and has since grown to a strong team of over 300+ consultants, serving more than 40+ active clients globally.
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