- 4 monthsCONTRACT with potential extension
- Hybrid role (3 days onsite in South-East Melbourne)
- Rate per day: $800 (inclusive of super)
More about you
- Requires a minimum of 5 years of relevant experience in data science, advanced analytics, and/or machine learning (ML), deep learning (DL), and artificial intelligence (AI).
- Proficiency in Python, R, and modern data science platforms.
- Strong SQL skills and relational database experience.
- Expertise in statistical analysis and advanced modeling techniques.
- Ability to communicate complex findings to non-technical stakeholders.
- Strategic thinker aligning data initiatives with organizational goals.
- Identifies and drives data-driven improvements.
What you'll be doing
- Modeling complex problems and identifying business opportunities using statistical, algorithmic, mining, and visualization techniques.
- Integrating and preparing large datasets, architecting specialized environments, and communicating results effectively.
- Collaborating with stakeholders to transform data into actionable insights.
- Driving organization's data maturity by transitioning to predictive analytics.
- Conducting research on advanced techniques in machine learning, deep learning, and artificial intelligence for informed decision-making.
- Uncovering insights and implement business solutions.
- Translating business needs into analytics requirements.
- Serving as data science expert, framing meaningful scenarios.
- Identifying relevant data sources and recommend strategies.
- Implementing cutting-edge techniques for efficient analysis.
- Developing and deploying data science tools to support operations.
If this opportunity aligns with your expertise and aspirations, please apply! Please feel free to reach out directly to me at mmeah(at)aurec.com, should you have any questions!