Data Scientist

5 days ago

Brisbane, Queensland, Australia Ray White and Loan Market Full time

We are seeking a highly skilled Data Scientist to join our Data & Analytics team at Ray White and Loan Market. As a Data Scientist, you will be responsible for developing data-driven, AI, and ML solutions to deliver value to the organisation.

You will work with business stakeholders, data engineers, data modellers, software engineers, and analysts in cross-functional teams to deliver end-to-end outcomes. You will also get opportunities to build proof of concepts to determine the value of AI/ML solutions to push the boundaries and create value for our brokers and their clients.

This is a hybrid role (2 days in the office per week) that can be done from Sydney, Melbourne, or Brisbane.

Key Responsibilities:

  • Design, develop, and implement AI and machine learning solutions tailored to solve problems in a practical and timely manner.
  • Evaluate the performance, stability, and scalability of developed models, ensuring they meet the necessary business requirements and standards.
  • Partner with data engineering teams to deploy models on Google Cloud Platform (GCP) and ensure seamless integration into existing workflows.
  • Leverage dbt (Data Build Tool) to create reusable features for the data and analytics community.
  • Monitor model performance and maintain optimization, stability, and accuracy over time.
  • Stay abreast of industry trends, advancements, and innovations in AI, machine learning, and data science, driving continuous improvement and innovation within the team.
  • Communicate technical insights and recommendations clearly and effectively to both technical and non-technical stakeholders.

To succeed in this role, you will bring with you:

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
  • 2+ years of hands-on experience in data science, including model development and deployment.
  • Proficiency in Python and SQL for data manipulation and machine learning model development.
  • Problem-solving skills and the ability to translate business problems into data science solutions.
  • Good communication skills with the ability to present findings and technical solutions to diverse audiences.
  • Familiarity with GCP and its services (BigQuery, Vertex AI etc.), and dbt is a plus.

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