Senior Data Scientist
Melbourne (Hybrid/Aus remote) c$200k + Super + equity
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.
*Coding Proficiency: Intermediate programming skills in Python, Scala, JavaScript, Typescript, or R, along with intermediate SQL knowledge.
*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.
Apply now