Pricipal Data Scientist

Atlassian
San Francisco
Workplace: RemoteFull timeUSD 171,063 - 269,075 annuallyFunction: Data Science & Machine LearningSkills: ["Communication","Mentorship","Stakeholder management","Analytical thinking","Collaboration"]

Define and drive data science strategy for a customer-facing product area, turning ambiguous business questions into rigorous analytical frameworks and measurable outcomes. Lead end-to-end ML model and statistical analysis from framing and data acquisition through experimentation, deployment, and evaluation. Partner with Product, Engineering, and Design to embed data-driven decisions, set experimentation methodology (A/B tests, power analysis), and communicate insights to senior executives. Mentor DS talent and establish standards for responsible AI/ML and model quality.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Atlassian
Atlassian
5 days ago

Pricipal Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Define and drive data science strategy for a customer-facing product area, turning ambiguous business questions into rigorous analytical frameworks and measurable outcomes. Lead end-to-end ML model and statistical analysis from framing and data acquisition through experimentation, deployment, and evaluation. Partner with Product, Engineering, and Design to embed data-driven decisions, set experimentation methodology (A/B tests, power analysis), and communicate insights to senior executives. Mentor DS talent and establish standards for responsible AI/ML and model quality.
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 the product area, creating rigorous analytical frameworks and measurable outcomes.
  • •Lead end-to-end ML model and statistical analysis from problem framing and data acquisition through experimentation, deployment, and evaluation.
  • •Partner with Product, Engineering, and Design to embed data-driven decision-making throughout the product development lifecycle.
  • •Own experimentation infrastructure and methodology, including A/B test design, power analysis, and scalable interpretation.
  • •Identify insights via exploratory analysis, influence roadmap prioritization and business strategy, and serve as technical authority with responsible AI/ML best practices.

Pay and Benefits

Salary: USD 171,063 - 269,075 annually

Key Requirements

  • •Define and drive a data science strategy for a product area, translating ambiguous business problems into analytical frameworks and measurable outcomes.
  • •Lead end-to-end development of ML models and statistical analyses, including experimentation and ongoing evaluation.
  • •Partner cross-functionally with Product, Engineering, and Design to embed data-driven decision-making into the product lifecycle.
  • •Own experimentation infrastructure and methodology, including A/B test design, power analysis, and interpreting results at scale.
  • •Serve as a technical authority for data science standards, and mentor junior and mid-level data scientists.
Experience:Machine learningData scienceExperimentationA/B testingResponsible AI/MLData-driven product development
Skills:CommunicationMentorshipStakeholder managementAnalytical thinkingCollaboration

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
WebsiteLinkedInGlassdoor