Senior Data Scientist

Overview

Are you looking to use your data skills for social good?

Dataro is an ethically-minded ‘Data Science-as-a-Service’ startup that uses machine learning to help not-for-profits run more successful fundraising campaigns.

Machine Learning is our core technology, not a buzzword dreamed up by marketing. Everything you do to improve our models has a direct impact on causes that matter in the real world.

We’re looking for seriously talented people who want to work on the cutting edge of technology and have an outsized impact on the world.

In This Role, You’ll Get To

  • Train, debug, deploy and monitor hundreds of production ML models
  • Work with rich, complex datasets across 100s of millions of rows of data to develop new predictive features for NFP-specific outcomes.
  • Run experiments to suggest improvements in our machine learning pipeline.
  • Work side-by-side with experienced data scientists and data engineers

On The First Day, We’ll Expect You To Have

  • Deep experience with real-world machine learning including deployment and monitoring
  • A sophisticated understanding of modelling workflows and model lifecycles
  • High-level Python (Pandas + SKLearn) and/or R (Carat + Shiny) skills
  • Experience with SQL Databases

It’s Great, But Not Required, If You Have Experience With

  • The fundraising and non-profit sector
  • Spark / PySpark, AWS (EC2, Batch, Lambda, S3)
  • GIt, CI/CD pipelines

If you wish to apply, please provide concise written responses to the following questions:

  • What experience do you have with production ML systems? What problems were the systems solving and how did they technically achieve this.
  • What specific issues have you encountered with models in production and how were they resolved?
  • Describe your approach to feature engineering.
  • How do you determine if a model will be successful in production?

We are based in Surry Hills and have flexible WFH arrangements. We value a diverse workforce.

Apply for this position

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