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.
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: $201,300 - $268,400
Zone B: $181,200 - $241,600
Zone C: $167,100 - $222,800
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.
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.
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
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
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