Senior Data Scientist

vor 2 Wochen

Council of the City of Sydney, Österreich FIRESOFT People Vollzeit

Database Development & Administration (Information & Communication Technology)

Senior Data Scientist
Credit Modelling
Sydney - Hybrid
$190k + Super.

Are you a Senior Data Scientist who loves all things Snowflake? Are you looking to work in a flexible hybrid environment with a very talented team? Would you like to be well rewarded for all your hard work? Then read on. Our client is a medium-sized financial services provider; their tech stack is Snowflake for data storage, Snow Park for pipeline build and compute, SnowPark/ notebook/ Data Robot for model builds and Data Robot for model deployment.

Our client is looking for someone to work in their Data Science team and focus on two primary streams: first, building models in Python and/or Data Robot for deployment into the Data Robot hosted environment. The role will require exceptional model-building skills, including, but not limited to, optimal parameter search, feature engineering, model selection, model evaluation, and model deployment.
The second will work with the business to define problems, frame solutions, and deploy solutions that work for the business stakeholders.

This role will also play a crucial part in our clients development as a data science and analytics function through improvements to the tech stack and/or modelling.

To be considered for this role you will ... 

  • Strong A/B testing experience
  • Expert level with containerisation e.g., docker and Kubernetes
  • Experience with operationalising machine learning models and workflows
  • Mathematical optimisation methodologies
  • Experience with Data Robot
  • Experience in a data processing software such as Alteryx or Snowflake
  • Experience of SnowPark
  • Experience in a pipeline technology such as DBT or Snowflake scheduler
In this role you will ... 
  • Work with the Lead Data Scientist to formalize analytical solutions to internal business customer challenges
  • Develop and deploy machine learning models that are reproducible, reliable and efficient
  • Develop an MLOps framework for deploying machine learning models into production environments
Ideally, you will be an exceptional model builder (in Python) with experience in stakeholder management, model deployment and integration of solutions into the business.

If this sounds like you and you enjoy a great working environment, apply today 
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