Data Scientist – Australia

Location: Australia

The Data Scientist will design and implement data-driven solutions to support business decision-making and innovation. This role suits an analytical and curious thinker passionate about turning complex datasets into actionable insights that drive measurable outcomes across Australia.

Key Responsibilities

• Collect, clean, and analyze structured and unstructured datasets from various sources

• Develop predictive models, algorithms, and data visualizations to solve business challenges

• Collaborate with cross-functional teams to translate data insights into strategic actions

• Perform statistical analysis and create reports that support evidence-based decisions

• Work with data engineers to ensure scalable and efficient data infrastructure

• Explore and test machine learning methods to improve business processes and forecasting accuracy

• Communicate findings clearly to both technical and non-technical stakeholders

• Stay up to date with new data science techniques, tools, and best practices

Requirements

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related discipline

• 2–4 years of experience in data science, analytics, or applied statistics

• Strong proficiency in Python or R, with experience using libraries such as pandas, NumPy, scikit-learn, or TensorFlow

• Expertise in SQL and data visualization tools (e.g., Tableau, Power BI, or Looker)

• Solid understanding of statistical modeling, machine learning, and data preprocessing

• Excellent analytical, problem-solving, and communication skills

• Ability to translate business requirements into analytical frameworks

• Experience working in collaborative, data-focused environments