Data Scientist - Healthcare

Two95 International Inc.; Kuala Lumpur; On-site; MYR 80,000 - 120,000; Full time

Job summary

A leading analytics firm in Kuala Lumpur is looking for a Data Scientist with extensive experience in healthcare analytics. The ideal candidate will have between 5 to 15 years of experience and a strong background in programming languages such as R, Python, Scala, and Java. Responsibilities include designing healthcare analytics solutions and connecting with stakeholders. This contract role offers a unique opportunity to impact the healthcare sector.

Qualifications

• 5 to 15 years of work experience in data science.
• Strong analytical and statistical knowledge.
• Production environment ML and AI experience.

Responsibilities

• Enable delivery of data and advanced analytics system capability.
• Collaboratively design and implement healthcare analytics solutions.
• Connect with stakeholders to understand data and systems.

Skills

R

Python

Scala

Java

Big Data

Hadoop

MapReduce

SQL

Machine Learning

Data Manipulation

Education

Honours or Master’s degree in BSc Computer Science or Engineering or Software Engineering

Tools

Azure

DevOps/DataOps

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

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