Data Scientist - Architect

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

POSITION INFO:

Responsibilities will include:
ï‚· Collaboratively design, specify and implement a full stack healthcare analytics solution underpinned by a project delivery focus
ï‚· Connecting with a multitude of stakeholders to understand the data, systems, and analytical architecture in a healthcare context
ï‚· Understand healthcare business pipeline and assess where scalable healthcare analytics can enhance the pipeline
o Devise strategy around roll out of healthcare analytics
o Specify software and hardware decision making framework
ï‚· Understanding large structured and unstructured datasets to recommend improvement to algorithms and technologies
ï‚· Understand meta-data management systems and orchestration architecture in the designing of ML/AI pipelines
ï‚· Research and application of the most up to date analytics, machine learning and AI techniques
ï‚· Work with a range of stakeholders to ensure to present and apply insights effectively in the environment

ï‚· Monitoring model performance
ï‚· Improve processes and databases where opportunities arise

Technical skills core:
ï‚· Expert in programming languages such as R, Python, Scala
ï‚· Experience in interactive data exploration and data-driven story telling
ï‚· Understanding and application of Big Data and distributed computing principles (Hadoop and MapReduce)
ï‚· Strong analytical and statistical knowledge with an understanding of the latest machine learning algorithms for both structured and unstructured data
ï‚· Strong ability to communicate findings and recommendations from data (visual, verbal and written)
ï‚· Production environment machine learning and AI
ï‚· DevOps/DataOps and CI/CD experience
ï‚· Proficient understanding data manipulation skills including SQL to extract, transform and load data

Technical skills additional:
ï‚· Azure experienced preferred

Professional Qualifications & Experience
ï‚· 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
ï‚· Honours or Master’s degree in Computer Science or Software Engineering with solid experience in statistical modelling, data mining and machine learning
ï‚· Other analytical qualifications will also be considered if accompanied by the relevant experience
ï‚· 5 to 15 years of experience is preferred

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