AddressReporting to the Data and Analytics Manager, you will be responsible for, the collection, analysis, and interpretation of data to inform critical business decisions. This includes data cleaning, statistical analysis, and the development of machine learning models for predictive and prescriptive purposes.
Data Scientists collaborate with diverse teams, communicate findings through data visualisation, and ensure ethical data practices. Their work plays a pivotal role in uncovering actionable insights and driving data-driven decision-making within the organisation.
Now is the time to join LeavePlus, as we embark on the transformational process to become the leading digital regulator and administrator of an employee entitlement scheme.
Utilizing cutting-edge data and digital solutions, we're streamlining, automating, and elevating our processes. By harnessing technological advancements and refining our systems, we're committed to delivering a unique user experience for both our members and our team.
We’re dedicated to empowering our workforce through continuous learning and professional development, recognizing that they are the driving force behind our transformative initiatives. Play a pivotal role in shaping our future as critical thinkers, innovators, and modern regulators.
Key Responsibilities:
- Collect, clean and pre-process data in preparation for analysis.
- Utilise your statistical analysis skills to identify trends and uncover patterns in the collected data sets.
- Develop and implement machine learning models using regression, clustering and classification to problem solve.
- Forecast future trends and drive data predictions using predictive modelling techniques.
- Showcase your advanced data visualisation skills via expert presentations to steer business decision making.
- Deploy and monitor models in the production environment.
Skills Required:
- 3-5 years of Data Scientist or directly related experience
- Proficiency in and/or familiarity of Microsoft Azure, Azure: Data Factory, Databricks, Synapse Analytics, Machine Learning, HDInsight, Cosmos DB, DevOps.
- Advanced data analytics in collection, cleaning and exploratory analysis.
- Experienced statistical modelling skills to formulate business strategies.
- Demonstrated success in machine learning algorithms and model development.
- Fluent in programming languages: Python and/or R preferred.
- Experience in creating data visualisations using Power BI or other tools.
- Proven ability to design and conduct hypothesis tests for data validation.
- A/B Testing knowledge ideal.
- Examples of Natural Language Processing skills in text analysis and processing.
- Familiarity with Big Data platform and Cloud Technologies eg. Azure Data Lake, Data Lake Analytics, Synapse Analytics, Stream Analytics, Event Hub, IoT Hub and Data Factory.
Qualifications:
- A degree in Computer Science, Data Science, Statistics, Mathematics, or a similar discipline.
- Microsoft Azure certifications
- Data Science courses
If you have a passion for exploring, interpreting and understanding data and a curiosity for critical thinking and applying your problem-solving skills, this role is made for you. We are searching for a collaborator and a storyteller who thrives in a workplace that values continuous learning and is adept at keeping updated in the latest data science advancements and technologies. If you rise to the challenge of understanding complex data analytics and enjoy applying your creative solutions to data-related problems apply now.
To highlight your interest in this role, please submit your resume and a cover letter outlining your relevant experience and why you are the ideal candidate for this role. We look forward to reviewing your application and potentially welcoming you to our team at LeavePlus.
Please note that employment at LeavePlus is conditional upon the satisfactory completion of a National Police Check. Applications are open to those with full working rights in Australia. LeavePlus is proud to be an Equal Employment Opportunity Employer.
