AI Summary
We're looking for a mid-level data scientist to join our remote team in Australia. The ideal candidate will have experience in data science, data analytics, or machine learning. The role involves transforming raw data into actionable insights and supporting data-driven decision-making.
Key Highlights
Develop statistical models, machine learning algorithms, and predictive analytics
Analyze structured and unstructured data to uncover trends, patterns, and opportunities
Collaborate with product, engineering, and business teams to define analytical solutions
Technical Skills Required
Benefits & Perks
Fully remote role anywhere in Australia
Opportunity to work on impactful, high-value data projects
Collaborative team with strong technical expertise
Job Description
📊 We’re Hiring: Data Scientist
đź“Ť Location: Remote (Australia)
đź•’ Employment Type: Full-Time
đź’Ľ Level: Mid-Level
We are looking for an analytical and innovative Data Scientist to join our remote team in Australia. In this role, you will transform raw data into actionable insights, build predictive models, and support data-driven decision-making across the organisation.
🎯 Key Responsibilities- Develop statistical models, machine learning algorithms, and predictive analytics
- Analyse structured and unstructured data to uncover trends, patterns, and opportunities
- Collaborate with product, engineering, and business teams to define analytical solutions
- Prepare data pipelines, clean datasets, and validate model performance
- Communicate insights through visualizations, dashboards, and presentations
- Conduct experiments and A/B testing to support product and business strategy
- Document methodologies, findings, and best practices
- Continuously explore new tools, techniques, and approaches to improve data capability
- 2–4 years of experience in data science, data analytics, or machine learning
- Strong proficiency in Python or R
- Solid understanding of statistics, modeling techniques, and data manipulation
- Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch, etc.)
- Ability to communicate complex concepts clearly to non-technical audiences
- Familiarity with SQL and working with large datasets
- Comfortable working in a remote-first environment
- Must be based in Australia with full working rights
Nice to Have
- Experience with cloud platforms (AWS, GCP, Azure)
- Knowledge of data visualization tools (Tableau, Power BI, Looker)
- Background in experimentation, forecasting, or NLP
- Experience deploying models into production environments
- Familiarity with MLOps or data engineering workflows
- Fully remote role anywhere in Australia
- Opportunity to work on impactful, high-value data projects
- Collaborative team with strong technical expertise
- Clear pathways to Senior Data Scientist or ML Engineer roles
- Competitive compensation and benefits
- Flexible working hours and work–life balance