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Data Scientist - Healthcare

Two95 International Inc.
CompanyTwo95 International Inc.
CategoryHealthcare
LocationKuala Lumpur
RemoteOn-site (inferred)
EmploymentContract
LevelNot stated
SalaryNot stated by the employer
Posted3 Feb 2023
Last verified11 Aug 2026
SourceEmployer ATS (workable)
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Description
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