
Data Scientist
7 days ago
We are seeking a highly skilled and innovative
Data Scientist
to join our team. The ideal candidate will have expertise in advanced machine learning techniques, modern MLOps practices, and large-scale data processing. This role requires a balance of technical depth, business acumen, and the ability to communicate insights effectively across diverse stakeholders.
Key Responsibilities
- Design, develop, and implement machine learning models and statistical approaches to solve complex business problems.
- Apply expertise in experimental design and statistical modeling to drive data-driven decision-making.
- Build, train, and deploy ML models using Python and libraries such as
scikit-learn, PyTorch, and TensorFlow
. - Leverage modern ML platforms (e.g.,
Databricks, SageMaker, Vertex AI, Azure ML
) for scalable model development and deployment. - Implement
MLOps best practices
, including CI/CD pipelines, model versioning, monitoring, and automated retraining. - Work with distributed computing and large-scale data frameworks such as
Spark, Ray, or Dask
. - Apply advanced techniques in
feature engineering, model interpretability, fairness, and responsible AI
. - Translate complex machine learning outcomes into actionable business insights and present them to both technical and non-technical stakeholders.
Qualifications & Skills
- Proven expertise in
machine learning algorithms, statistical modeling, and experimental design
. - Strong programming skills in
Python
with hands-on experience in ML frameworks and libraries. - Experience with
cloud-based ML platforms
and end-to-end model lifecycle management. - Deep understanding of
MLOps practices
including deployment, monitoring, and governance. - Familiarity with
distributed computing frameworks
and large-scale data environments. - Excellent communication and stakeholder management skills with the ability to link ML solutions to measurable business impact.
No work visa sponsorship available, candidate must have full Australian work rights. Due to the volume of application, only shortlisted candidates will be contacted
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