Two95 International

Data Scientist - Healthcare

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeKuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia$11k - $17k

An Honours or Master’s degree in Computer Science, Engineering, or Software Engineering, with solid experience in data mining and machine learning.
Five to fifteen years of work experience.
Expertise in programming languages such as R, Python, Scala, and Java.
Understanding and application of big data and distributed computing principles, including Hadoop and MapReduce.
Strong analytical and statistical knowledge and understanding of current machine learning algorithms for structured and unstructured data.
Ability to communicate data findings and recommendations visually, verbally, and in writing.
Production-environment machine learning and artificial intelligence experience.
Proficiency in data manipulation, including SQL for extracting, transforming, and loading data.

Work within a specialized team to enable delivery of data and advanced analytics system capability.
Collaboratively design, specify, and implement a full-stack healthcare analytics solution with a project-delivery focus.
Engage stakeholders to understand data, systems, and analytical architecture in a healthcare context.
Understand the healthcare business pipeline and assess where scalable healthcare analytics can enhance it.
Devise a strategy for rolling out healthcare analytics.
Specify software and hardware decision-making frameworks.
Understand large structured and unstructured datasets and recommend improvements to algorithms and technologies.
Understand metadata management systems and orchestration architecture for designing machine learning and artificial intelligence pipelines.
Research and apply current analytics, machine learning, and artificial intelligence techniques.
Work with stakeholders to present and apply insights effectively.
Monitor model performance.
Improve processes and databases where opportunities arise.

Two95 International Inc. · Kuala Lumpur, Malaysia · Contract · Posted 2023-02-03

Salary: unknown currency 11,000–17,000

Workplace: on_site

Department: APAC

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

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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