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.
Join Atlassian as a new grad and start your career with us having a direct impact on how millions of users collaborate and use software. The most amazing thinkers-like NASA rocket scientists and Tesla engineers-are coming to us for solutions. We're in the business of developing software to help teams everywhere get amazing ideas on the ground and into the world. Sound like an exciting place to start your career? Here you'll be encouraged to use your imagination and try new things. You'll be guided (as we are) by our core values, and you'll be supported by some of the best minds in tech. We want you to have everything you need to do amazing work from the get-go.
You love to innovate and to build your dreams. Ambitious and driven, you are excited about the opportunity to work with smart people on complex challenges. You're a natural team player, inquisitive and enjoy dissecting and tackling hard problems (the more challenging the better). You have a great foundation in computer science and awesome skills in writing software with minimal bugs. Whilst passionate about your work and delivering amazing quality, you're still able to go fast, which means killer instincts when it comes to the workload and using your time wisely.
You'll learn a lot, but you'll also need to be able to stand up for your own ideas when the time comes.
Not eligible for Visa sponsorship. Unfortunately, we do not offer U.S. work visa sponsorship to F-1 student graduates at this time.
More about you
On your first day, we'll expect you to:

• Must be currently enrolled in a full-time degree program and graduating between December 2021 - June 2022
• Experience with SQL and other programming languages
• Experience with dashboard tools like Tableau, Microstrategy, PowerBI
• Be able to commit to a full-time (40hrs / week)

It's great, but not required, if you:

• Have a real passion for Data Science, as demonstrated by previous internships, work experience, projects, or publications
• Basic understanding of machine learning and predictive modeling
• A general understanding of supervised learning, optimization, and statistical analysis
• Demonstrated ability to translate business problems into technical solutions

More about Atlassian
Creating software that empowers everyone from small startups to the who's who of tech is why we're here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned-collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we're looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we're committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team .
Additional Information
We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
All your information will be kept confidential according to EEO guidelines.
If your experience looks a little different from what we've identified and you think you can rock the role, we'd love to learn more about you.
Learn more about Atlassian's culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub .