Data Scientist Engineer

2 weeks ago

Sydney, New South Wales, Australia Dataro Ops Pty Full time

Are you looking to use your data skills for social good? Are you a strong software or data engineer looking to get more hands on experience with data science? Then this role could be perfect for you.

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 production ML models for hundreds of different organisations.

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.
Investigate issues with and help to improve our data transformation pipelines.
Work side-by-side with experienced data scientists and data engineers.

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

Experience with real-world machine learning projects including deployment and monitoring.
Extremely strong Python skills.
Extremely strong SQL skills.
Experience with databases, professional software engineering practices
Bachelor's degree in Computer Science, Mathematics, Engineering, or related field (or equivalent work experience).

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

The fundraising and non-profit sector
Startups
AWS (EC2, Batch, Lambda, S3, Athena)
Duck DB
GIt, CI/CD pipelines

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

Create a 1-minute video of you explaining why you want to work at Dataro, what makes you a good engineer and what is the hardest problem you've ever solved.

Send the video and your CV to

#J-18808-Ljbffr

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