Two95 International Inc. is hiring a

Data Scientist - Healthcare

Kuala Lumpur, Malaysia
Contractor

Hiring Local Malaysians only - CONTRACT JOB - 12 MONTHS (EXTENDABLE)

DATA SCIENTIST - IT with Extensive experience in "Healthcare ".

With Minimum Experience - 5 years & Maximun 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

Requirements

  • 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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