Data Scientist / Applied Machine Learning


Zendesk builds software for better customer relationships. It empowers organisations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organisations the flexibility to move quickly, focus on innovation, and scale with their growth. Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America. Learn more at

Melbourne is home to the Data Science Team, and together with Data Engineering we have built Satisfaction Prediction andAnswer Bot — products that use Machine Learning (ML) and Artificial Intelligence (AI) to help our customers work more efficiently.

What you get to do everyday:

We’re currently looking for someone to join our team as we research, develop, and productionise Machine and Deep Learning models. As a member of the Data Science team, in addition to frequenting Melbourne’s finest purveyors of coffee, ramen and bulgogi, you may find yourself:

  • Building machine learning models including neural networks in TensorFlow
  • Writing and deploying production-grade Python
  • Querying and constructing datasets in Hadoop
  • Evaluating and responding to real-world model performance
  • Scaling your ML to millions of predictions per day
  • Presenting your work to a broader audience
  • Watching your algorithm help Zendesk’s end-users

What you’ll bring to the role:

A strong foundation in a quantitative discipline (e.g. machine learning, statistics, bio/eco/etc-informatics, econometrics, etc) is essential for this position. While experience in deep learning and natural language processing would be beneficial, a commitment to continuous learning, collaborative work attitude and strong communication skills will be critical to your success. You should also be comfortable with at least one programming language, such as R or Python.

Zendesk Engineering believes in fostering a calm, collaborative, and focused environment that respects the importance of our products to our customers, without taking ourselves too seriously. The Engineering team in Melbourne continues to grow in size and currently stands at 80+ engineers. Within Data Science, our approach to solving technically demanding problems is to focus on trying and learning new things, not just ticking boxes. That, and having fun.

Perks include a competitive salary package as well as stock, flexible working hours, a fully stocked kitchen and brand new offices on Collins Street! We’re also keen on ongoing learning so you’ll develop your skills through pair programming, lunch and learns, hackathons, lab days to experiment with new ideas and a yearly training allowance too. In addition, you’ll be invited, and encouraged, to take part in company-sponsored volunteer initiatives.

Individuals seeking employment at Zendesk are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.

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