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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
    • 1–3 years of relevant experience in data analytics, data engineering or a related field.
    • Strong analytical thinking and attention to detail when working with…
    • 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…
    • Proficiency in Python for data analysis, machine learning, and problem-solving.
    • Experience with data science libraries (e.g., Pandas, NumPy, Scikit-learn) and…
    • Experience with SQL, data pipelines, object storage, REST APIs, event-driven or microservices architectures and governed enterprise data integration.
    • 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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Job Post Details

Data Scientist - job post

Pyramid Global Technologies
Perth WA
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Location

Perth WA

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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