Jobs

Senior Data Scientist
AI & Data Science
Data Scientist
Melbourne
Permanent / Full Time
$140000 - $150000 + super + stock options
Salary Period PerAnnum
Posted On 28/08/2025

About

A lot of data science roles talk about AI and machine learning in broad terms, but don’t always give you the chance to see your work make a real impact.

In this role, you’ll be applying your skills to build and deploy models that genuinely shape how the product works and how decisions get made — not just experiments that sit in notebooks.

What you’ll be doing:
  • Designing, training, and deploying models that actually make a difference (yes, that includes propensity models, not just “toy” classifiers).
  • Working with big data systems like Databricks, Spark, Snowflake — the sort of platforms where scale isn’t just a word on a slide deck.
  • Productionising models in the cloud (AWS, Azure, GCP — pick your flavour).
  • Building pipelines that keep data flowing without becoming someone else’s nightmare.
  • Using proper statistical techniques to answer actual business questions, not just academic ones.
  • Partnering with engineering teams so the models you build don’t rot on someone’s laptop.
What you’ll need to bring:
  • A background in Computer Science, Stats, or something equally technical.
  • Strong Python and SQL skills (the stuff you can’t Google in the interview).
  • Experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn.
  • Spark, Hadoop, Databricks, Snowflake, Redshift, take your pick.
  • The ability to explain complex models without putting non-technical people to sleep.
Extra credit if you’ve:
  • Used ML Ops tools like MLflow, SageMaker, or Vertex AI.
  • Played around with transformer architectures or deep learning frameworks and actually deployed them.
  • Built models that predict customer behaviour, churn, or conversion, and saw them drive commercial impact.
What’s in it for you:
  • The chance to define data strategy instead of inheriting one written in 2015.
  • A culture where growth and learning aren’t just buzzwords.
  • Work that directly shapes the product, not hidden away in a PowerPoint deck.
If you’re a data scientist who wants to do more than build nice graphs in Jupyter notebooks, this is worth your time.

nat@justdigitalpeople.com.au

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