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 New York, New York, USA Office
Atlassian believes the future of work is distributed and offers our people the flexibility to help them do what’s important to them. And with few exceptions, we hire people anywhere we have a legal entity as long as they have eligible work rights and sufficient team time zone overlap.
Similar Jobs at Atlassian
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Partners with sales teams to support mid-market customers throughout the pre-sales cycle. Conducts discovery, identifies business problems, maps needs to Atlassian products, leads customized value-based demonstrations, guides technical decisions, expands cross-product opportunities, and builds executive relationships. Tracks customer feedback and competitive intelligence, collaborates with product management, and continuously develops product, solution, platform, and sales expertise.
Top Skills:
Artificial IntelligenceAtlassian ProductsAtlassian SoftwareCloud Computing
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead technical strategy and cross-functional execution for agent integrations, quality measurement, observability, API governance, monetization, rate limits, quotas, runtime safeguards, and platform roadmaps. Translate ambiguous, multi-team challenges into milestones, ownership models, technical decisions, and scalable standards for tool ecosystems and automation platforms.
Top Skills:
Agent IntegrationsApi GovernanceApi MeteringApi VersioningAPIsAuthenticationRate LimitingTelemetryToken ExchangeTool Calling
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Manage a book of ~40 mid-market accounts to drive new sales and expansion. Own quota ($2-4M), lead cross-functional deal teams, build executive relationships, qualify and close complex multi-threaded SaaS deals using outcome-based selling (MEDDPICC), forecast pipeline, price and negotiate contracts, collaborate with channel/marketing/product/customer success, and occasionally travel for customer meetings and team events.
Top Skills:
ConfluenceJira Service ManagementJira Software
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
