Senior Data Scientist

Overview

The Senior 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 is a remote position that can be based anywhere in Australia. 

Responsibilities

• Design and build data science models and product features to achieve the business goals.
• Understand and translate business requirements from internal and external stakeholders into­ data product and features.
• Apply state of the art AI/machine learning technics to resolve analytical problems.
• Research and identify appropriate AI models to suit business needs.
• Collaborate with team members to build integrated analytic solutions including data pipelines, modelling and dashboards.
• Serve as a subject matter expert in data and analytics in client engagements to help our customers get increased value from our products.
• Work with subject matter experts to validate the analytical insights and findings.
• Analyse and present actionable insights to internal and external stakeholders to enable informed decision making.
• Generate reports and dashboards, to communicate key insights to internal and external stakeholders.
• Develop Proof of Concepts and working demos.
• Delegate tasks to and mentor junior data scientists.

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties, and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and the requirements of the job change.

Qualifications

• Tertiary qualification in data science, mathematics, statistics, physics or other related fields.
• 5+ years’ experience in a commercial advanced analytics environment.
• Solid skills in building statistical/data science models.
• Can create or modify existing AI/ML technics to suit the business needs.
• Hands-on experience with generative AI, LLMs and other advanced AI techniques
• Hands-on experience in Python.
• Excellent communication skills.

Desired skills:

• Experience in healthcare industry highly regarded.
• Familiarity with Amazon Web Services (AWS) applications (QuickSight, S3, Sagemaker, HealthLake).
• Experience with agile software development.

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