Data Scientist
Remote, Australia
Cotiviti
Cotiviti is a solutions and analytics company leveraging unparalleled clinical and financial datasets to deliver insight into the healthcare system’s performance.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.
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
Qualifications
Required 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS CX Machine Learning Mathematics Physics Python QuickSight SageMaker SQL Statistics
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