Principal Data Scientist Developer Productivity at Atlassian

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
With a sufficient timezone overlap with the team, we're able to hire eligible candidates for this role from any location in Australia and/or New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further.
Atlassian is looking for a Principal Data Scientist to partner with our Cloud Infrastructure team. We're looking for someone with business instincts, creativity, analytics mastery, and experience working with software engineering teams; someone who is passionate about applying these skills to build a measurement culture connected to business impact.
You'll partner with the Developer Lifecycle (DevLife) team in our Cloud Infrastructure organisation. Cloud Infra develops the cloud components that our engineering teams use to build our products. DevLife enables Atlassian makers to maximise productivity on our Cloud Infrastructure platform; we make it simple for our teams to focus on building great products that unleash the potential of every team. We care about how we make developers more productive (DevProd) and improve their experience building our products. With over 5,000 software engineers, you will have leverage to change our business, and if we're successful, potentially the whole industry. We have the data; we need your skill, your craft, your expertise, your insight, and your guidance.
In this role you will get to:
Work with Product and Engineering Leaders in the Cloud Infrastructure team to identify high impact opportunities for analytics, and align Analytics & Data Science priorities with the team roadmapBuild on our initial efforts to measure Developer Productivity (DevProd), helping connect productivity measures to business-value, moving the Cloud Infrastructure organisation to be more data-drivenPromote a measurement culture and understand the impact of our internal strategy; including designing and analysing experiments and feature launchesEnvision, scope, and lead projects by collaborating with partners, software and data engineering leaders, and other data scientistsShare your high-quality recommendations with multiple levels of leadership to guide impactful decisionsFoster a world-class analytics culture, leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decision
To be successful in this role, you will have:
Extensive experience applying your analytics skills to identify and lead projects which have had proven impact on strategic and product roadmap decisionsExpertise in SQL and proficiency in another data science programming language (e.g Python, R)An Agile development mindset, appreciating the benefit of constant iteration and improvementExperience working with software and data engineering teams, an understanding of the software development lifecycle, and exposure to typical software engineering tools (e.g. Jira, SCM, CI/CD systems).A very high bar for output quality, while balancing "having something now" vs. "perfection in the future"Proficiency in at least one visualisation tool (e.g. Tableau, R-Shiny, dash, Microstrategy)Comfort explaining complex concepts to diverse audiences (such as Product Managers, Designers), and creating compelling storiesProject management and prioritisation experience; preferably with Data Engineering, Product Management, and Software Engineering teamsExperience using statistics as part of your roleA degree in a quantitative discipline (e.g. statistics, mathematics, physics, engineering, computer science, econometrics)
It's a bonus, but not required, if you have:
Previously worked in global teams and high-growth businessesExperience developing apps and working with Cloud Infrastructure software componentsAdvanced degree (Masters, PhD) in Computer Science, Mathematics, Statistics or other STEM fieldAn understanding of SaaS development, business model and metricsExperience building ETL pipelines using any tools or scripting languagesAre an active member of the broader analytics and data science community