Senior Machine Learning Scientist

Key Skills

AWS, Cloud computing, Data science techniques, Databricks, Machine learning techniques, Python Programming, SPARK Programming, SQL

Job Description

With a sufficient timezone overlap with the team, we're able to hire eligible candidates for this role from any location in Australia and/or New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further.

In this role, you'll get to:

• Develop machine learning algorithms to predict customer lifetime value and drive business applications using these predictions
• Construct and refine AI algorithms to optimise our marketing and onboarding funnels
• Employ behavioural data and insights to intelligently customise the user journey, boost engagement and purchase rates and increase our number of active users
• Work with our seriously large volume of analytics data to understand insightful trends and behaviours
• Craft machine learning and predictive models to drive intelligent product features

On your first day we'll expect you to have:

• Bachelor or higher degree (or equivalent) in a quantitative subject (statistics, mathematics, computer science, engineering or physics)
• Related industry experience in the data science or machine learning domain
• Development experience in a programming language, Python is strongly preferred
• Expertise in SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
• Experience developing, building and scaling machine learning models in business applications using large amounts of data. Previous experience in customer lifetime value, churn and propensity modelling is highly regarded
• Ability to communicate and explain data science and machine learning concepts to diverse audiences and craft a compelling story
• Focus on business practicality and the 80/20 rule; very high bar for output quality but recognise the business benefit of having something now vs perfection sometime in the future
• Agile development approach, appreciating the benefit of review, constant iteration and improvement within a collaborative team environment

More about our Team:

The Core Machine Learning team sits within the broader Analytics group and is tasked to pursue machine learning opportunities that generate revenue or MAU improvements. This team works cross-functionally across the organisation and provides machine learning infrastructure and modelling applications to the business and partner analytics teams. The team is split geographically between the US and Sydney, supporting stakeholders across the regions. The team is highly nimble, with a focus on velocity between conceptualisation and initial output, and laser-focused on business impact.

Our perks & benefits

To support you at work and play, our perks and benefits include ample time off, an annual education budget, paid volunteer days, and so much more.

About Atlassian

The world’s best teams work better together with Atlassian. From medicine and space travel, to disaster response and pizza deliveries, Atlassian software products help teams all over the planet. At Atlassian, we're motivated by a common goal: to unleash the potential of every team.