
Posted 41 months ago
Data Scientist - Healthcare
Kuala LumpurOn-siteContract
AI Summary
Data Scientist role focusing on healthcare analytics; designs and implements full-stack analytics solutions, handles structured/unstructured data, builds ML/AI pipelines, and collaborates with stakeholders to deploy insights in a healthcare context.
About this role
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
Skills
AIAzureBig-dataCI/CDCloud PlatformsData ManipulationData MiningDataOpsData OrchestrationDevOpsDistributed ComputingETLFlashy Unstructured Data HandlingHadoopJavaMachine Learning AlgorithmsMapReduceMetadata ManagementMLPythonRScalaSQLStatistical Modeling
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