Data Scientist

Working at Atlassian

Atlassians can choose where they work whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Your future team

The Data Science and Analytics team influence product innovation with data insights, leveraging machine learning, experimentation, and deep analytics to build smarter, data-driven products. From uncovering user insights to optimizing features, data is turned into strategic advantages that shape and scale impactful product experiences for our customers. We're passionate about helping our engineering teams with speed and efficiencies in their development processes.

• Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work
• Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges
• Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
• Define, understand, and test opportunities to improve the products and influence roadmaps through insights and recommendations
• Partner with cross-functional teams to inform, influence, and execute strategy decisions
• Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends

• 4+ years of Experience in Data Science or related fields
• Bachelor's degree or equivalent in a STEM field (e.g. statistics, mathematics, physics, econometrics, or computer science)
• Proficiency in SQL is mandatory. Another data manipulation programming language e.g. Python, R is a good to have
• Experience telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker)
• Working knowledge of basic statistical concepts (e.g. regressions, A/B tests, clustering, probability) and how to apply them to practical questions
• Experience applying your analytics skills to projects which have had impact on business strategy and performance
• An understanding of the SaaS business model and important metrics