Principal Data Scientist

Overview:

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.

Responsibilities:

In this role, you will:

• Collaborate on a variety of product and business problems with a diverse set of cross-functional partners, become a trusted strategic partner, and build credibility 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 business 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.
• You will use data to shape product 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:

Minimum 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 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 that have had a proven impact on business strategy and performance through your analytics skills.
• A proven track record for crafting analysis into well-written and persuasive 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.
• An understanding of the SaaS business model and key metrics.
• Experience in developing insights for Chat, Search or LLM-based products.