Job description

Senior Data Scientist Role

We are looking for Senior Data Scientist Professionals with 5 -15 years solid development experience in data science systems and architecture and has a solid knowledge base of the SDLC.


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

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