This is a Senior Data Scientist role with a leading fashion marketplace based in Sydney, NSW, AU

As the leading fashion, sports and lifestyle e-commerce destination in the region, our client's e-commerce platforms (Retail, Marketplace and Services) provide a seamless and inspiring end-to-end customer experience.

We look for Data Scientists who can solve complex data problems and are experts in AI Engineering and Machine Learning. We’re a fast-paced, innovation-driven team that builds and rapidly deploys cutting-edge ML and AI solutions to create measurable, real-world impact. With the rapid evolution of AI, our success hinges on quick experimentation, iterative development, and confidently navigating emerging technologies

Why Join the Data Science Team

• We’ve deployed advanced large-scale LLMs into production, leveraging models like Google’s Gemini family.
• We’ve creatively integrated generative AI across diverse text and imagery use cases.
• We’ve pioneered the use of AI agents embedded directly into critical business workflows, transforming efficiency and outcomes.
• We’ve launched multi-modal search capabilities, enabling millions of our customers to experience faster, richer interactions.
• Our team has designed, trained, and deployed custom deep learning models tackling massive datasets, alongside innovative solutions like advanced Markov models and sophisticated hierarchical Bayesian systems.
• We’ve implemented generative AI to deliver uniquely personalised recommendations, reshaping the customer experience.
• Our innovative approaches have earned prestigious industry recognition, including the Retailer Awards CX Innovator Finalist and acknowledgement in the Australian Financial Review (AFR).

What We’re Looking For

We’re seeking a practical, hands-on Senior Data Scientist, who thrives by building real, deployable solutions, not just experiments in notebooks. You should be energised by challenges, excited about rapid prototyping, and confident learning new technologies as needed, along with the below:

Solid ML Fundamentals

• Strong grasp of foundational ML concepts (classification/regression, feature engineering, evaluation metrics, training vs. inference, overfitting, etc.)
• Comfortable designing and training custom deep learning models with slightly novel architectures
• Experienced with scikit-learn; practical experience with deep learning frameworks (preferably PyTorch or TensorFlow)

Strong Python Coding Skills

• Proficiency in object-oriented programming (classes, methods, inheritance)
• Good understanding of essential coding practices, including proper exception handling and logging
• Familiarity with concepts of functional programming (basic understanding sufficient)

Real-world, Production-oriented Experience

• Demonstrated ability to develop, debug, and optimise code intended for live production environments
• Practical knowledge of Git (branching, merging, pull requests, conflict resolution)
• Solid experience with Docker containers (building, running, managing)

Strong Communication and Stakeholder Management

• You will regularly participate in technical and product discussions, contribute to sprint reviews, and present solutions to a global audience.

Ways to stand out from the crowd..

• Cloud Deployment: Experience deploying ML applications using Google Cloud Vertex AI, Kubernetes, or Cloud Run
• CI/CD: Practical experience with CI/CD tools such as GitHub Actions or Google Cloud Build
• Infrastructure as Code (IaC): Familiarity with Terraform is strongly preferred
• Practical A/B Testing Experience and Skills: Comfortable setting up experiments, interpreting results, and applying insights to product and model improvements

🟢 Please consider applying even if you don't meet 100% of what's outlined 🟢

Key Responsibilities

• 🧩 Solving complex data problems
• 🚀 Building and deploying ML solutions
• 💬 Participating in technical discussions

Key Strengths

• 🤖 Machine Learning Fundamentals
• 🐍 Python Coding Skills
• ⚙️ Real-world Production Experience
• ☁️ Cloud Deployment
• 🔄 CI/CD

Why our client is partnering with Hatch on this role. Hatch exists to level the playing field for people as they discover a career that’s right for them. So when you apply you have the chance to show more than just your resume.

A Final Note: This is a role with our client not with Hatch.