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A leading company in the healthcare sector is seeking a Data Scientist to join their skilled data science team. The role involves applying advanced statistical and machine learning techniques to generate insights from healthcare data, collaborating with engineers and stakeholders to enhance product value, and communicating findings effectively. Candidates should possess relevant qualifications and experience, especially in analytics environments, and familiarity with cloud applications like AWS is preferred.
Overview
The Data Scientist will join a highly skilled data science team and work directly with a talented team of software engineers, auditors, product managers and customer experience managers to analyze healthcare data and deliver value for our clients.
This role is located in Australia.
Responsibilities· Apply Statistical/ Machine Learning techniques to build models for data product and features
· Analyse 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 product 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 productionise 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
QualificationsRequired 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
Preferred Qualifications
· Experience in healthcare industry highly regarded
· Familiarity with Amazon Web Services (AWS) applications (QuickSight, S3, Sagemaker, HealthLake)
· Experience with agile software development