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Senior data scientist

Melbourne
Cox Purtell Staffing Services
Data Scientist
Posted: 11 February
Offer description

Are you a seasoned Data Scientist with a passion for solving real-world problems and a track record of deploying production-ready machine learning systems? We are working with an early-stage, super high-growth startup looking for a Senior Data Scientist to join our team and help shape the future of their data-driven products.

In this role, you will have the opportunity to work directly with our Chief Technology Officer and wider Data Science Team and play a pivotal part in building new credit and behavioural models, as well as improving and extending existing ones. You won\'t just be building models in a vacuum; you\'ll be managing loan portfolio performance and coaching and mentoring the engineering and data science teams on data management, analysis, and machine learning.

What You\'ll Do:
* Drive Innovation: Conduct exploratory data analysis and visualisation to uncover insights and drive product development.
* Build and Scale: Develop and deploy new credit and behavioural models that directly impact our business growth.
* Lead and Mentor: Coach and mentor our growing engineering and data science teams, fostering a culture of continuous learning and excellence.
* Manage Performance: Take ownership of loan portfolio performance, ensuring our models are delivering real-world value.
What You\'ll Bring:
* Proven Expertise: 4+ years of experience in the practical application of data science to real-world problems.
* Technical Depth: A deep understanding of ML techniques such as GLM, GBM, XGBoost, and SVM for predictive modelling.
* Production Mindset: Experience working with production ML systems and a clear understanding of how to monitor ongoing performance effectively.
* Communication Skills: Strong visualisation skills to present complex data relationships and the ability to communicate effectively with both technical and non-technical stakeholders.
Bonus Points For:
* Experience with AWS and practical use of S3, Glue, Athena, IAM, and Sagemaker.
* Experience in data management at scale with high-dimensionality, sparse datasets.
Why Join?

A dynamic and fast-paced work environment where you can make a real impact from day one. Somewhere where they value respectful and constructive communication, regular feedback, and a focus on resolving customer issues successfully. Flexibility around working hours and the option to work from home, while maintaining a strong connection to team ceremonies.

If you\'re ready to take the next step in your career and join a team that is passionate about using data to drive innovation, we\'d love to hear from you.

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