Senior Principal Data Scientist

In this role, you will:

• Identify key business challenges and develop strategic initiatives for your cross-functional business partners, be a trusted strategic partner, and build credibility.

• Influence Atlassian Intelligence product strategy and roadmaps, and drive impactful change through the structure and clarity of your analysis and recommendations.

• Lead and prioritize multiple workstreams and/or large complex data science programs. In collaboration with your data science team and your business partners, you will be making informed decisions about priorities, timing, and resourcing.

• Drive best practice techniques for communicating complex, unfamiliar, challenging, and/or difficult information, including the development and use of frameworks and conceptual models.

• Lead the evolution of data assets in your team. Coordinate with and influence other data science and engineering teams working on Atlassian Intelligence to ensure alignment of metrics, measurement, and analysis methodologies.

• Leverage broader industry knowledge to establish frameworks to measure customer engagement with and quality of Atlassian intelligence features.

• Actively share your work and knowledge to benefit work done across data science.

• Proactively enable your data science team to address business needs and navigate change and ambiguity.

• Use your experience and expertise to identify, solve, and bridge gaps/problems across data science and drive programs of work impacting organizational processes that scale Atlassian.

Minimum Qualifications / Your background:

• Proven track record of driving projects or programs that have had a significant impact on business strategy and performance.

• Excels at advising, presenting to and serving as a thought partner to senior executives

• 10+ years of experience in Data Science or related fields.

• Expertise in SQL and another data manipulation programming language (e.g., Python, R).

• Proficiency in at least one visualization tool (e.g., Tableau, R-Shiny, Looker).

• 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 leading and mentoring teams, with a focus on achieving strategic objectives.

Desirable Qualifications

• 12+ Years of Experience in Data Science or related fields

• Understanding of the SaaS business model and key metrics.

• Experience in developing insights for Chat, Search, or LLM-based products.

• Championing the adoption of industry standards in a functional area of Data Science.