Data Scientist - Healthcare

Two95 International Inc.; Kuala Lumpur; On-site; MYR 200,000 - 250,000; Full time

Job summary

An innovative firm is seeking a skilled Data Scientist with extensive experience in healthcare analytics. This role involves working within a specialized team to design and implement advanced data analytics solutions that enhance healthcare delivery. You will engage with various stakeholders to understand data systems and recommend improvements, employing cutting-edge machine learning and AI techniques. The ideal candidate will possess strong programming skills in languages such as R and Python, alongside a solid understanding of big data principles. Join this dynamic environment where your expertise will significantly impact healthcare analytics and drive meaningful change.

Qualifications

• 5-15 years of experience in data mining and machine learning.
• Expertise in programming languages such as R, Python, Scala, and Java.
• Strong analytical skills with knowledge of machine learning algorithms.

Responsibilities

• Collaboratively design and implement healthcare analytics solutions.
• Connect with stakeholders to understand data and systems in healthcare.
• Monitor model performance and improve processes where opportunities arise.

Skills

Data Mining

Machine Learning

Analytical Skills

Communication Skills

Big Data

Statistical Knowledge

Programming in R

Programming in Python

Programming in Scala

Programming in Java

Education

Honours or Master’s degree in Computer Science

Bachelor's degree in Engineering

Tools

Hadoop

MapReduce

SQL

Azure

CI/CD

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:

1. Work within a highly specialized and growing team to enable delivery of data and advanced analytics system capability.
2. Collaboratively design, specify and implement a full stack healthcare analytics solution underpinned by a project delivery focus.
3. Connecting with a multitude of stakeholders to understand the data, systems, and analytical architecture in a healthcare context.
4. Understand healthcare business pipeline and assess where scalable healthcare analytics can enhance the pipeline.
5. Devise strategy around the rollout of healthcare analytics.
6. Specify software and hardware decision-making framework.
7. Understanding large structured and unstructured datasets to recommend improvements to algorithms and technologies.
8. Understand meta-data management systems and orchestration architecture in the designing of ML/AI pipelines.
9. Research and application of the most up-to-date analytics, machine learning, and AI techniques.
10. Work with a range of stakeholders to ensure to present and apply insights effectively in the environment.
11. Monitoring model performance.
12. Improve processes and databases where opportunities arise.

Qualifications:

1. Honours or Master’s degree in BSc Computer Science, Engineering, or Software Engineering with solid experience in data mining and machine learning.
2. 5 to 15 years of work experience.
3. Expert in programming languages such as R, Python, Scala, and Java.
4. Understanding and application of Big Data and distributed computing principles (Hadoop and MapReduce).
5. Strong analytical and statistical knowledge with an understanding of the latest machine learning algorithms for both structured and unstructured data.
6. Strong ability to communicate findings and recommendations from data (visual, verbal, and written).
7. Production environment ML and AI.
8. DevOps/DataOps and CI/CD experience preferred.
9. Proficient understanding of data manipulation skills including SQL to extract, transform, and load data.
10. Azure experience preferred.