Job Description
In This Role, You Will
- Lead improvements in normative data generation processes, further enabling practitioners to easily benchmark patients’ performance against a reference group.
- Develop, test and deploy machine learning models for applications such as data quality improvements, rehabilitation trajectory modelling, and predictive device maintenance.
- Apply dimensional modelling expertise to further enhance the Gold layer of the Lakehouse, improving how data products are served to clients.
- Conduct ad-hoc data analysis to support various initiatives across , including patient rehabilitation analytics and customized normative data reporting.
- Contribute to and maintain the data science codebase, implementing best practices in development life cycle management and source control.
Our Ideal Candidate Has
- Tertiary qualifications in mathematics, statistics, engineering, or a related field.
- Proficiency in Python (including PySpark and ML libraries), Databricks, SQL, Git, R, Excel, Power BI and R.
- Proven experience building machine learning models in Python.
- Expertise in delivering dimensional data models using Kimball principles.
- Familiarity with cloud infrastructure and its application in data science.
- All the attributes that make a great data scientist – curiosity, attention to detail, teamwork, communication skills, a passion for problem-solving, and a willingness to meet deadlines.
- Ability to handle ambiguity and thrive in a startup environment.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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