Principle Data Scientist

Overview
Overview
You will be part of a world-class Data Science team that leverages data to drive insights about Atlassian's shift to offer AI-powered capabilities and consumption-based monetization. You will help shape our extensibility strategy as well as how we price and deliver value in the next era of software. The Data Science team partners closely with Product Managers/Engineers/Researchers/Data Engineers/Marketers/Privacy and Executive teams across Atlassian to drive and influence. The team is responsible for using a variety of analysis and data-science techniques to understand how Atlassian's customers and partners harness our data and power AI capabilities.

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.

Responsibilities
Responsibilities

• 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.
• Analyze real-world use cases and consumption patterns to inform pricing, forecasting, and elasticity modeling.
• 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.
• You will use data to shape platform development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian.
• You will use storytelling techniques to communicate insights broadly, including to company leadership teams.

Qualifications
Your background

• 8+ Years of Experience in Data Science or related fields
• Proficiency in SQL AND another data manipulation programming language (e.g Python, R)
• Expertise in modelling and forecasting timeseries
• 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
• A proven track record for crafting analysis into well-written content
• Experience advising, presenting to and serving as a thought partner to senior executives

Desirable Qualifications

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

Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit

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About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on 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.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit

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