Senior Principal Data Scientist

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.
Your future team
You will be part of a world-class Data Science team that leverages data to drive insights about our products and customers. The Data Science team partners closely with Product Managers, Engineers, Designers, Researchers, Data Engineers, Markets and the Executive team across Atlassian to drive and influence outcomes.
The team is responsible for using a variety of analysis and data-science techniques to understand how Atlassian's customers engage with our AI products, identify gaps and opportunities, and measure the success of our product investments.
Compensation
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. 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: $231,600 - $308,800
Zone B: $208,400 - $277,900
Zone C: $192,200 - $256,300
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
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.