Data Scientist

Job Brief:

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.

Responsibilities:

The successful applicant will be working within a highly specialized and growing team to enable delivery of advanced analytics system capability.
Responsibilities will include:

• 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
  oDevise strategy around roll out of healthcare analytics
  o 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

Technical skills core:

• Expert in programming languages such as R, Python, Scala
• Experience in interactive data exploration and data-driven story telling
• 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

Technical skills additional:

• Azure experienced preferred

Behavioural skills:

• A passion for data exploration and complex healthcare environment
• Self-starter
• Willingness to learn and grow exponentially
• A restless curiosity towards data and uncovering unknown correlations
• Ability to work cohesively in a team environment and balance multiple priorities
• A team player who can work alone when required and without supervision
• High level of attention to detail, resilience, enthusiasm, energy and drive
• Positive, can-do attitude
• Ethical and able to maintain confidentiality and manage boundaries

Professional Qualifications & Experience:

• Honours or Master’s degree in either Data Science, Statistics, or Applied Mathematics with some experience in software engineering, computer science or working with big disparate sets of data, OR\
• Honours or Master’s degree in Computer Science or Software Engineering with solid experience in statistical modelling, data mining and machine learning
• Other analytical qualifications will also be considered if accompanied by the relevant experience
• 5 to 15 years of experience is preferred