Senior Data Scientist
2 weeks ago
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
- Working with big data systems like Databricks, Spark, Snowflake
- 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
What you'll need to bring:
- Strong Python and SQL skills
- Experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn.
- Spark, Hadoop, Databricks, Snowflake, Redshift
- 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.
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