Data Scientist - Healthcare

Two95 International Inc.
Kuala Lumpur
MYR 200,000 - 250,000
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.
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