Data Analytics Specialist

23 hours ago

Brisbane, Queensland, Australia beBeeDataScientist Full time $132,034
Job Overview

The Data Scientist is responsible for proposing and prioritising data-driven regulatory solutions, conducting advanced analytics to uncover actionable insights and root causes. The role involves deploying predictive models to identify and mitigate high-risk situations, leading the development of new risk models, and ensuring the long-term performance and ethical integrity of all data science solutions.

This position requires a strong knowledge of statistical and data mining techniques, experience with machine learning, predictive modelling, and pattern recognition. Proficiency in Python, SQL, R, and Databricks ML is also essential. The ideal candidate will possess an analytical mindset with strong problem-solving skills and excellent communication and teamwork abilities.

Key Responsibilities
  • Develop statistical learning models and custom algorithms.
  • Collaborate with internal teams and subject matter experts.
  • Communicate findings to decision-makers.
  • Document technical and business solutions.
Essential Skills and Qualifications
  • Degree in computer science, statistics, applied mathematics, or equivalent experience.
  • Experience with Databricks AutoML and Microsoft Azure.
Additional Requirements
  • Knowledge of the heavy vehicle or transport industry.
  • Experience in real-time, high-volume transactional environments.
Why Choose This Opportunity

As a Data Scientist at our organisation, you will be part of a team that is dedicated to delivering innovative solutions. We offer a competitive salary package, options for flexible working arrangements, and opportunities for professional development.

In this role, you will have the opportunity to work on challenging projects, collaborate with experienced professionals, and contribute to the growth and success of our organisation.

What We Offer
  • A competitive salary package.
  • Options for flexible working arrangements.
  • Opportunities for professional development.
  • Work-life balance and a supportive team environment.
  • Ongoing training and professional development support.

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