Principal Data Scientist

Principal Data ScientistAnalytics & Data Science | San Francisco, United States | Remote, RemoteAs a Principal Data Scientist on the Global Experiences Data Science team, you'll sit at the intersection of cutting-edge analytics and Atlassian's most customer-facing products. Reporting to the Manager of Global Experiences Data Science, you'll bring deep technical expertise to complex, ambiguous problems — shaping how millions of users experience Atlassian's suite of products.This is a high-impact, high-visibility role where you'll lead the full data science lifecycle: from defining the right questions and building robust models to influencing product strategy and communicating insights to senior leaders. You'll be a force multiplier for the team — elevating the craft of data science while partnering closely with Product, Engineering, and Design to drive meaningful outcomes at scale.Responsibilities include:Define and drive the data science strategy for your product area, translating ambiguous business problems into rigorous analytical frameworks and measurable outcomesLead end-to-end development of ML models and statistical analyses — from problem framing and data acquisition through experimentation, deployment, and ongoing evaluationPartner with Product, Engineering, and Design to embed data-driven decision-making into the product development lifecycleOwn experimentation infrastructure and methodology for your domain, including A/B test design, power analysis, and interpretation of results at scaleIdentify high-impact opportunities through exploratory analysis, surfacing insights that influence roadmap prioritization and business strategyServe as the technical authority for data science within your team — setting standards for modeling approaches, code quality, and analytical rigorMentor and develop junior and mid-level data scientists; contribute to hiring, onboarding, and capability-building across the broader DS organizationCommunicate findings and recommendations clearly to senior stakeholders and executives, translating complex analyses into actionable narrativesCollaborate cross-functionally to define metrics frameworks, north star metrics, and guardrail metrics for product and business healthDrive adoption of best practices in feature engineering, model monitoring, and responsible AI/ML across teamsAt Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.This role may also be eligible for benefits, bonuses, commissions, and equity.In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:Zone A: $206,100 - $269,075Zone B: $185,490 - $242,168Zone C: $171,063 - $223,332Atlassian 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.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.