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Data Scientist jobs in Perth WA

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    • Exposure in Developing data science projects which includes scoping, building, testing, implementation, maintenance, tracking and optimisation of models.
    • View all Pyramid Global Technologies jobs - Perth jobs
    • Salary Search: Data Scientist salaries in Perth WA
    • Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical…
    • Lead a small team of data scientists, providing technical leadership, mentorship and quality oversight across assigned initiatives.
    • Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools.
    • Bachelor's Degree or equivalent.
    • Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical…
    • Apply data governance principles, including data quality, master data management, metadata management, and data lineage.
    • Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical…
    • Manage and mentor data engineers, data scientists, and consultants, fostering skill development.
    • You will play a key role in designing scalable data…

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Data Scientist
Pyramid Global Technologies
Perth WA
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Full job description

About the job Data Scientist

Job Description Data Scientist in Perth:

Required Technical Skill Set - Python, R, SQL, shell scripting,, GitHub/SVN, Teamcity or continuous integration tools, Exposure to AWS.

Ability to work as part of a multidisciplinary team and develop and maintain relationships with internal and external stakeholders.

Assist in the management of sprints and product backlog in an Agile environment.

Understanding in applying machine learning, deep learning, artificial intelligence, and/or advanced optimization algorithms.

Exposure in Developing data science projects which includes scoping, building, testing, implementation, maintenance, tracking and optimisation of models.

Understanding of Techniques such as Time Series analytics, Regression, Confidence Interval, Bayesian and Monte Carlo methods, Chi-square distribution

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