Data Scientist
Outcomex Pty Ltd
Posted 3 days ago
About Us
Outcomex is a leading provider of innovative technology solutions, specialising in IoT, cloud, and data-driven platforms. We are expanding our data science capabilities and seeking a highly skilled and motivated Data Scientist to join our team.
About the Role
As a Data Scientist at Outcomex, you will play a pivotal role in designing and deploying IoT solutions, building predictive models, and enabling data-driven decision-making across diverse sectors. You’ll collaborate with technical and non-technical teams, contribute to client engagements, and help shape the future of intelligent systems.
Key Responsibilities
Design and deploy IoT solutions with a strong foundation in edge computing and real-time data processing.
Develop and implement predictive models using Python and ML/AI frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Analyse large-scale IoT datasets with a focus on anomaly detection, optimisation, and actionable insights.
Create intuitive dashboards and visualisations using Power BI, Matplotlib, Plotly, and Apache Superset.
Manage cloud-based production environments using AWS, Azure DevOps, Kubernetes, and ChirpStack.
Work with SQL (PostgreSQL) and NoSQL databases, and utilise querying tools like Trino.
Support system integration, data modelling, and architecture design for development and consulting projects.
Engage in client-facing activities including pre-sales, solution consulting, support, and training.
Communicate effectively across teams and present findings to diverse stakeholders.
Maintain current knowledge through certifications in data science, cloud computing, and IoT.
About You You are a proactive and technically adept professional with a passion for solving complex problems through data. You thrive in collaborative environments and are comfortable engaging with clients and stakeholders.
About Outcomex Pty Ltd
This company does not have any further information provided at this time. We encourage you to research the company by searching for them to learn more about the company or role in question before applying.
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