Data Scientist - Healthcare

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:

1. Work within a highly specialized and growing team to enable delivery of data and advanced analytics system capability.
2. Collaboratively design, specify and implement a full stack healthcare analytics solution underpinned by a project delivery focus.
3. Connecting with a multitude of stakeholders to understand the data, systems, and analytical architecture in a healthcare context.
4. Understand healthcare business pipeline and assess where scalable healthcare analytics can enhance the pipeline.
5. Devise strategy around the rollout of healthcare analytics.
6. Specify software and hardware decision-making framework.
7. Understanding large structured and unstructured datasets to recommend improvements to algorithms and technologies.
8. Understand meta-data management systems and orchestration architecture in the designing of ML/AI pipelines.
9. Research and application of the most up-to-date analytics, machine learning, and AI techniques.
10. Work with a range of stakeholders to ensure to present and apply insights effectively in the environment.
11. Monitoring model performance.
12. Improve processes and databases where opportunities arise.

Qualifications:

1. Honours or Master’s degree in BSc Computer Science, Engineering, or Software Engineering with solid experience in data mining and machine learning.
2. 5 to 15 years of work experience.
3. Expert in programming languages such as R, Python, Scala, and Java.
4. Understanding and application of Big Data and distributed computing principles (Hadoop and MapReduce).
5. Strong analytical and statistical knowledge with an understanding of the latest machine learning algorithms for both structured and unstructured data.
6. Strong ability to communicate findings and recommendations from data (visual, verbal, and written).
7. Production environment ML and AI.
8. DevOps/DataOps and CI/CD experience preferred.
9. Proficient understanding of data manipulation skills including SQL to extract, transform, and load data.
10. Azure experience preferred.