Job Overview
We are seeking an experienced Data Science Expert to join our team and work directly with talented professionals to analyze healthcare data and deliver value for our clients. This role is based in Australia.
Key Responsibilities:
Apply statistical and machine learning techniques to build models for data products and features.
Analyze and present actionable insights to internal and external stakeholders to enable informed decision making.
Understand and translate business requirements from internal and external stakeholders into data products and features.
Serve as a subject matter expert in data and analytics in client engagements to help our customers get increased value from our products.
Develop scripts and packages to extract, transform, and analyze large datasets.
Collaborate with key internal stakeholders to productionize data science models and product features.
Generate reports and dashboards to communicate key insights to internal and external stakeholders.
Develop Proof of Concepts and working demos.
Required Skills and Qualifications
To be successful in this role, you will require the following skills and qualifications:
Tertiary qualification in data science, mathematics, statistics, physics, or other related fields.
3+ years experience in a commercial advanced analytics environment.
Solid skills in building statistical/data science models.
Solid skills in SQL for data extraction and manipulation.
Hands-on experience in Python.
Excellent communication skills.
Benefits
This role offers the opportunity to work with a highly skilled data science team and contribute to delivering value for our clients. The ideal candidate will have a strong background in data science and experience working in a commercial advanced analytics environment.
Others
Please note that experience in the healthcare industry is highly regarded, but not required. Familiarity with Amazon Web Services (AWS) applications, including QuickSight, S3, Sagemaker, and HealthLake, is also desirable. If you are a motivated and experienced data science professional looking for a new challenge, please apply for this role.