Data Scientist - Healthcare
On-site Kuala Lumpur Contract Mid-level Data Science
At a glance
Mid-level Data Science role at Two95 International Inc. Kuala Lumpur · contract.
Pay not stated Data Scientist salary
RoleData Science
SeniorityMid-level
LocationKuala Lumpur
WorkplaceOn-site
EmploymentContract
PostedFeb 3, 2023 · 3y ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build and deliver an end-to-end healthcare analytics solution, from design through implementation
- Talk with stakeholders to map healthcare data, systems and analytics architecture, then identify pipeline opportunities
- Plan analytics rollouts and set criteria for software and hardware choices
- Assess large structured and unstructured datasets to improve algorithms, technology and ML/AI pipelines
- Apply current analytics and machine learning methods, share findings, track model performance and improve databases
What you bring
- You are a local Malaysian with five to fifteen years of relevant work experience
- You hold an honours or master’s degree in computer science, engineering or software engineering
- You bring data mining and machine learning experience, plus strong statistical and analytical skills
- You can program in R, Python or another listed language and apply SQL data manipulation
Who this fits
This is an on-site contract role in Kuala Lumpur for a local Malaysian. The initial term is twelve months and may be extended.
From the employer
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
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science
Find me workBy the team behind dataroles.