Senior Data Science Engineer

1 day ago

Sydney, New South Wales, Australia 8pod Full time $120,000 - $180,000 per year

Senior Data Science Engineer

Sydney - Hyrbid

At 8pod, we're transforming digital engagement with AI-powered, hyper-personalised experiences that connect brands and consumers in new ways. Our platform gives global brands full control, breaking free from the limitations of traditional digital advertising. With direct publisher partnerships, we're enabling access to over 2 billion people worldwide across industries like travel, retail, and hospitality.

As we prepare to launch globally (US, UK, EU, EMEA), we're building a world-class Engineering & Product team — and we're looking for a Senior Data Science Engineer to help scale our personalised content recommendation engine.

Why Join 8pod?

  • Work on cutting-edge AI + MLOps, shaping how billions of people interact with brands.
  • Be part of a well-funded, product-first startup with global launch partners already signed.
  • Join a senior, experienced, and collaborative team that thrives in fast-moving environments.
  • Help us define and evolve the culture, processes, and future of data science at 8pod.

The Role

You'll work alongside our Chief Data Scientist and engineering team to design, deploy, and optimise ML models that deliver meaningful, personalised experiences. Beyond building models, you'll establish MLOps pipelines, improve data quality and reporting workflows, and ensure our systems scale with customer demand.

This is a hands-on, senior role for someone who thrives in ambiguity, enjoys autonomy, and is motivated by impact.

What You'll Bring

  • 5+ years in Data Science or ML Engineering
  • Strong Python skills & experience with AWS (Glue, Lambda, S3, SageMaker)
  • Knowledge of IaC (Terraform or CloudFormation)
  • Hands-on MLOps experience (automation, monitoring, CI/CD)
  • Git-based workflows and collaboration best practices

Nice to have:

  • Experience with synthetic data/augmentation
  • Startup or scale-up experience
  • Published work, open-source contributions, or portfolio (GitHub, Jupyter)
  • Additional languages (C, C++, Rust)

About You

We're looking for someone who:

  • Thrives in startup environments — fast-moving, collaborative, and high-impact.
  • Can balance theory (deep data science concepts) with practice (engineering workflows).
  • Brings curiosity, resilience, and humility — we value learning over "knowing it all."
  • Wants to shape not just a product, but an entirely new category of digital engagement.
  • Must have full working rights in Australia (no sponsorship available at this stage).

Interested? Apply now

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