Data Scientist

Job Description

Day to day of the job

• Contribute to design and development of AI solutions using AWS, Docker, Python, BigQuery, and other technologies.
• Apply domain knowledge to extract, manipulate and process data from multiple sources and assemble datasets for modelling
• Finding or engineering new features that can be ingested into PropTrack’s AI platform
• Prototyping and building new statistical and machine learning models to improve model performance
• Hyperparameter tuning and cross-validating model performance
• Develop and maintain model visualisation tools for analytics and business support
• Document projects and processes on Confluence and Git repositories
• Project presentations within the data science team and to broader REA audience

Who we’re looking for

• Tertiary qualifications in data science, econometrics, statistics, mathematics, or related discipline with a numerical/quantitative focus OR equivalent experience.
• 2+ years industry experience working in Data Science, ML engineering, Data Analyst or similar roles
• Expertise in statistical modelling and machine learning theory
• Proficient in SQL & Python (including building packages and test suites)
• Experience building and deploying models to production environments (CI, infrastructure as code, containerisation)
• Strong Computer Science fundamentals in data structures, problem solving, algorithm design, and complexity analysis
• Exposure to Git and Atlassian product suite (Jira, Confluence)
• Team player capable of working collaboratively as well as individually
• A structured approach to building, testing, and iterating on statistical models
• Data handling skills, including cleaning, analysing, and interpreting large data sets, and an intuitive sense for identifying when the data is incorrect or inconsistent.
• Excellent communication skills
• Strong attention to detail.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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