Principal Data Scientist

Atlassian
San Francisco
Workplace: RemoteFull timeUSD 171,063 - 269,075 annuallyFunction: Data Science & Machine LearningSkills: ["Analytical rigor","Mentoring","Stakeholder communication","Cross-functional collaboration","Technical leadership"]

Define and drive data science strategy for a customer-facing product area, turning ambiguous business needs into measurable analytical outcomes. Own the end-to-end lifecycle for ML models and statistical analyses, including experimentation from problem framing through deployment and evaluation. Partner with Product, Engineering, and Design to embed data-driven decision-making, establish metrics and guardrails, and communicate insights clearly to senior leaders. Serve as data science technical authority and mentor data scientists.

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FursaFursa
Atlassian
Atlassian
5 days ago

Principal Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live
Reposted: similar role first listed 3 weeks ago

Job Summary

Define and drive data science strategy for a customer-facing product area, turning ambiguous business needs into measurable analytical outcomes. Own the end-to-end lifecycle for ML models and statistical analyses, including experimentation from problem framing through deployment and evaluation. Partner with Product, Engineering, and Design to embed data-driven decision-making, establish metrics and guardrails, and communicate insights clearly to senior leaders. Serve as data science technical authority and mentor data scientists.
Location: San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Define and drive data science strategy for your product area, mapping business problems to analytical frameworks and measurable outcomes.
  • •Develop ML models and statistical analyses end-to-end, from problem framing and data acquisition through experimentation, deployment, and ongoing evaluation.
  • •Embed data-driven decision-making into product development by partnering with Product, Engineering, and Design.
  • •Own experimentation infrastructure and methodology, including A/B test design, power analysis, and interpretation at scale.
  • •Identify high-impact insights through exploratory analysis and communicate recommendations to senior stakeholders and executives.

Pay and Benefits

Salary: USD 171,063 - 269,075 annually
Equity and Bonus:Equity
Perks:Paid Leave

Key Requirements

  • •Translate ambiguous business problems into rigorous analytical frameworks and measurable outcomes.
  • •Lead end-to-end development of ML models and statistical analyses from data acquisition through experimentation, deployment, and evaluation.
  • •Own experimentation methodology, including A/B test design, power analysis, and interpretation of results at scale.
  • •Partner with Product, Engineering, and Design to embed data-driven decision-making across the product lifecycle.
  • •Serve as technical authority for data science standards, code quality, and analytical rigor.
Skills:Analytical rigorMentoringStakeholder communicationCross-functional collaborationTechnical leadership
Tech Stack:A/B testingPower analysisFeature engineeringModel monitoringResponsible AI/ML

Company Brief

Atlassian
Atlassian develops collaboration and workflow software—Jira, Confluence, Trello, Loom and more—used by teams for project management, software development, and IT service management across enterprises worldwide.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Sydney, Australia
Founded: 2002
Glassdoor
Glassdoor: 3.1
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