Job Title

Dataro Surry Hills, New South Wales, Australia Data Scientist Engineer Dataro is an ethically minded SaaS startup using machine learning to help not-for-profits raise more money and do more good. Our platform powers fundraising for organisations around the world, helping them run smarter campaigns and improve donor engagement using datadriven insights. Machine learning isnt a buzzword at Dataro its the heart of our product. Every improvement you make to our models directly impacts real organisations and real causes in the world. Were looking for talented engineers who have evolved into ML practitioners: people who enjoy writing highquality software and working with data, models, and experimentation. If you want to build impactful ML systems inside a modern product team, wed love to meet you. The Role As a Data Scientist Engineer, youll work across our modelling pipeline, data platform, and product features to build and maintain the predictive models that power Dataro. Youll train, iterate on, deploy, and monitor models in production, while also contributing to the engineering systems that support them. This role suits someone who started as a software or data engineer and now wants to go deeper into applied machine learning. Youll collaborate closely with product engineers, data scientists, and data engineers to deliver ML features at scale. What Youll Do Train, debug, deploy, and monitor production ML models used by hundreds of organisations. Work with rich, complex datasets including 100s of millions of records to design new predictive features and improve model performance. Run controlled experiments to evaluate modelling approaches and pipeline improvements. Investigate and resolve issues in our modelling and data transformation pipelines. Contribute to the design and evolution of Dataros ML infrastructure as our dataset and customer base grow. Work sidebyside with an experienced team of ML engineers, data scientists, and data engineers. Collaborate within a product team to bring MLpowered features into production. What Youll Bring (Day One) You dont need to be an ML specialist yet but you must be a strong engineer with realworld ML exposure. Experience working on real machine learning projects (experimentation, training, deployment, monitoring). Strong SQL skills and comfort working with large, messy, realworld datasets. Understanding of databases, schemas, and general backend engineering practices. Ability to reason about data quality, statistical features, and modelling tradeoffs. Bachelors degree in Computer Science, Engineering, Mathematics or equivalent practical experience. Nice to Have (But Not Required) No single person will have all of these theyre opportunities to grow. Experience in the fundraising or not-for-profit sector. Exposure to startups or fastpaced product environments. Experience with AWS services (EC2, Batch, Lambda, S3, Athena). Familiarity with analytical tools such as DuckDB or AWS Athena. Comfort with Git, CI/CD pipelines, and professional software workflows. Basic understanding of MLOps concepts (feature stores, model registries, experiment tracking). Why Youll Love Working With Us Work on ML that produces realworld impact for charities and social causes. Apply your engineering skillset to meaningful problems at the intersection of data science and product development. Learn from and collaborate with a passionate, multidisciplinary team. We value smart engineers who understand how software works deeply and arent afraid to use modern AI tools to speed experimentation and improve ML workflows. Flexible working arrangements (WFH + office in Sydney). Friendly, transparent, missiondriven culture where your work truly matters. Ready to code for impact? Create a 1minute video of you answering these three questions: Why do you want to work at Dataro? What is something you''ve built (outside of work) that you are really proud of? What is the hardest problem you''ve ever solved? Send the video and your CV to [email protected]. You must be based in Sydney and be able to demonstrate competence with Python, SQL and a solid grasp of ML fundamentals. Seniority level Entry level Employment type Fulltime Job function Engineering and Information Technology Industries Information Services Referrals increase your chances of interviewing at Dataro by 2x Get notified about new Data Scientist jobs in Surry Hills, New South Wales, Australia. #J-18808-Ljbffr