Principal Data Scientist partnering with cross-functional teams to solve product and business problems through quantitative analysis, experimentation, forecasting, and product metrics. The role develops hypotheses, evaluates opportunities, influences product roadmaps, identifies challenges, and communicates data-driven insights and recommendations to leadership.
Analytics & Data Science | Seattle, United States | Remote, Remote
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.
In this role, you will:
At 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.
Please visit
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.
In this role, you will:
- Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner 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.
At 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.
Please visit
Atlassian Bellevue, Washington, USA Office
10900 NE 4th St, Bellevue, WA, United States, 98004
Similar Jobs at Atlassian
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Partners with Public Sector sales leadership to improve revenue performance, forecasting, pipeline management, territory and capacity planning, sales processes, reporting, and operational rigor. Supports annual planning, QBRs, compensation tracking, performance insights, change management, and cross-functional initiatives involving Revenue Operations, Analytics, Systems, and Sales Enablement. Identifies workflow improvements and opportunities to apply AI and automation to increase sales productivity and forecast accuracy.
Top Skills:
AIAutomationCapacity ModelingEnterprise SaasPipeline ManagementSales Forecasting
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The job description content is missing. Based on the title, this role involves senior-level machine learning engineering. Atlassian offers flexible work arrangements, location-based compensation, benefits, bonuses, commissions, and equity.
Top Skills:
Machine Learning
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Own portfolio-level technical programs spanning product, engineering, GTM, finance, legal, security, and IT. Lead complex launches, migrations, integrations, monetization initiatives, and enterprise transformations; resolve ambiguity, manage dependencies and risks, influence executives, establish governance mechanisms, measure business impact, and mentor program managers. The role requires driving outcomes across multiple teams and time horizons without formal authority.
Top Skills:
Agile MethodologiesCloud TransformationData AnalyticsSoftware Development
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
