Data Scientist - Healthcare
Job description
Hiring Local Malaysians only - CONTRACT JOB - 12 MONTHS (EXTENDABLE)
DATA SCIENTIST - IT with Extensive experience in Healthcare.
With Minimum Experience - 5 years & Maximum Experience - 15 years
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.
Qualifications:
- 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 ML and AI.
- DevOps/DataOps and CI/CD experience preferred.
- Proficient understanding data manipulation skills including SQL to extract, transform and load data.
- Azure experience preferred.