Data Scientist

at  ReadyTech Group

We are looking for a Data Scientist to join our Emerging Technology Team and lead the development of predictive models and algorithms that will drive AI integration across multiple platforms. This role involves working closely with AI Solutions Architects and Project Managers to ensure the scientific rigor and practical application of data insights.

ABOUT US:

Making a meaningful difference with mission-critical software that empowers communities to thrive.
ReadyTech is more than just a one-trick pony playing in one market with one product, or one customer. We re-imagine, design, develop and deliver technology to solve our customer’s diverse problems – supporting multiple businesses across a variety of markets to be ready for anything.
We’re an ASX-listed company which means we are stable, have a strong track record of sustainable growth and have a significant number of long-term customers. So, what does this mean for you? It means we can offer you an experience that will push you to be your best, provide career-building challenges, and that will offer you numerous growth opportunities that can’t be found in any other company.
It’s an inclusive environment where there is no place for politics, where we get our heads together to solve the problems that really matter to our customers, and where we always stay focused on our north star – the communities we serve, and society at large.
Using your expertise, you will assist with scope requirements, field design documentation, and change request testing. You will also act as an “expert” product resource for customers and will be expected to communicate and prioritise customer requirements to other areas of the business. A focal point of your role involves optimising overall efficiency and performance by identifying opportunities to enhance internal processes.

THE KEY ACCOUNTABILITIES OF THE ROLE

• Deployment of Machine Learning Models: The end-to-end process of developing, testing, and
• deploying machine learning models. This includes ensuring that the models meet performance
• benchmarks and business requirements, and are properly integrated into production systems.
• Data Quality and Integrity: Ensure the accuracy, reliability, and consistency of data across the
• organization. This includes overseeing data collection processes, managing data pipelines, and
• implementing best practices for data governance and compliance.
• Delivering Data-Driven Insights: Own the process of translating complex data analyses into
• actionable business insights. This includes presenting findings to stakeholders, recommending data driven strategies, and ensuring that data insights drive decision-making processes.

THE KEY RESPONSIBILITIES OF THE ROLE

• Work with various product development teams to help develop applications to visualize and
• interact with complex datasets.
• Perform statistical analysis and predictive modeling using R, SAS, Python, and other statistical
• software, ensuring the integrity and accuracy of analyses.
• Work closely with product teams to understand data requirements and propose solutions that
• adhere to software industry standards.
• Research and help implement cutting-edge machine learning/deep learning/artificial
• intelligence techniques to enhance data analysis efficiency and effectiveness.
• Collaborate with cross-functional teams to design and execute data-driven strategies that
• support product, UX discovery and development processes.
• Ensure compliance with industry standards and regulatory requirements related to data
• management and analysis.
• Stay abreast of the latest trends, technologies, and methodologies in data science, machine
• learning to continually improve our analytics capabilities