Principle Data Scientist, App Ecosystem

As a Principal Data Scientist in Atlassian's App Ecosystem, you will play a strategic and technical leadership role, guiding analytics initiatives that shape how customers and partners leverage emerging AI technologies to build innovative apps. You'll collaborate with product, engineering, and business leaders to inform platform strategy, drive measurement culture, and deliver insights that accelerate ecosystem growth and adoption of AI-powered solutions. By driving projects individually or as tech lead, mentoring data scientists, and championing best practices, you'll foster a world-class analytics culture and ensure Atlassian remains at the forefront of extensibility and intelligence in the SaaS landscape.

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.

In this role, you will:

• Collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others
• Use data and analysis to identify and solve product development's biggest challenges
• Influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams
• Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta
• Help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights (P40 and above)
• Focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them
• Convince and influence your partners using clear insights and recommendations
• Build credibility through structure and clarity and be a trusted strategic partner
• Work with complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

• 8+ Years of Experience in Data Science or related fields
• Proficiency in SQL AND another data manipulation programming language (e.g Python, R)
• Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)
• Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand
• Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills
• A proven track record for crafting analysis into well-written content
• Experience advising, presenting to and serving as a thought partner to senior executives

• 10+ Years of Experience in Data Science or related fields
• An understanding of the SaaS business model and key metrics