Data Science Intern, Summer- Australia

Key Skills

Cloud computing, Python Programming, SQL

Job Description

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Does the thought of uncovering the next big aha! insight excite you? Do you love solving tough problems, and flourish with variety? Come join Atlassian's growing Analytics & Data Science team for the summer and use your skills to influence millions of teams around the world!

Applicants must have Australian citizenship, Australian Permanent Residency or NZ citizenship at time of application.

In the Analytics and Data Science team, you'll have the opportunity to:

• Play with our seriously large volume of data to discover insightful trends, and then collaborate with other Atlassians to turn your insights to actions, drive smarter product decisions and ultimately, delight our customers
• Measure the impact our product strategy; designing and analysing experiments and product launches
• Share your high-quality insights and recommendations to peers and leadership in order to influence or drive critical business decisions
• Super-launch your career through our experienced analyst mentoring while gaining invaluable exposure to the role of analytics and data science at a fast growing global technology giant

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

• Be able to commit to a 12 week full-time (38hrs / week) internship. We may be able to flex on this slightly if your course timetable does not allow for a 12 week placement during this timeframe.
• Be currently enrolled in a Bachelors, Masters, or PhD in a quantitative discipline (e.g. statistics, mathematics, physics, econometrics, or computer science)
• Have experience manipulating data using one of SQL, R, Python (or other languages)
• Demonstrate the ability to translate business questions into technical solutions, and communicate analytical results broad audiences
• Have a passion for collaborating with cross-functional team members, like engineers, product managers, designers and other analysts