Senior Principal Data Scientist
Atlassian
Senior Principal Data Scientist
Job Description
Senior Principal Data Scientist
📋 Job Overview
As a Senior Principal Data Scientist at Atlassian, you will drive strategic initiatives and influence product strategy for Atlassian Intelligence. You will lead complex data science programs, collaborate with cross-functional teams, and leverage industry knowledge to enhance customer engagement with AI products.
📍 Location: San Francisco, United States
🏢 Category: Analytics & Data Science
📅 Posted: 2025-08-04 09:20 PM
🎯 Key Responsibilities
- Identify key business challenges and develop strategic initiatives for cross-functional business partners.
- Influence Atlassian Intelligence product strategy and roadmaps, and drive impactful change through analysis and recommendations.
- Lead and prioritize multiple workstreams and/or large complex data science programs.
- Drive best practice techniques for communicating complex information, including the development and use of frameworks and conceptual models.
- Lead the evolution of data assets in your team and coordinate with other data science and engineering teams.
- Leverage broader industry knowledge to establish frameworks to measure customer engagement with Atlassian intelligence features.
- Actively share your work and knowledge to benefit work done across data science.
- Proactively enable your data science team to address business needs and navigate change and ambiguity.
- Use your experience and expertise to identify, solve, and bridge gaps/problems across data science and drive programs of work impacting organizational processes that scale Atlassian.
✅ Required Qualifications
- Proven track record of driving projects or programs that have had a significant impact on business strategy and performance.
- Excels at advising, presenting to and serving as a thought partner to senior executives.
- 10+ years of experience in Data Science or related fields.
- Expertise in SQL and another data manipulation programming language (e.g., Python, R).
- Proficiency in at least one visualization tool (e.g., Tableau, R-Shiny, Looker).
- Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand.
- Experience leading and mentoring teams, with a focus on achieving strategic objectives.
⭐ Preferred Qualifications
- 12+ Years of Experience in Data Science or related fields.
- Understanding of the SaaS business model and key metrics.
- Experience in developing insights for Chat, Search, or LLM-based products.
- Championing the adoption of industry standards in a functional area of Data Science.
🛠️ Required Skills
- SQL
- Python
- R
- Tableau
- R-Shiny
- Looker
- Statistical concepts (regressions, A/B tests, clustering, probability)
- Leadership
- Mentoring
- Strategic advising
- Presentation skills
- Communication
- Framework development
- Conceptual modeling
- Industry knowledge
- Cross-functional collaboration
🎁 Benefits & Perks
- Health coverage
- Paid volunteer days
- Wellness resources
Locations
- San Francisco, United States
Salary
193,500 - 303,150 USD / yearly
Estimated Salary Rangemedium confidence
250,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQLintermediate
- Pythonintermediate
- Rintermediate
- Tableauintermediate
- R-Shinyintermediate
- Lookerintermediate
- Statistical concepts (regressions, A/B tests, clustering, probability)intermediate
- Leadershipintermediate
- Mentoringintermediate
- Strategic advisingintermediate
- Presentation skillsintermediate
- Communicationintermediate
- Framework developmentintermediate
- Conceptual modelingintermediate
- Industry knowledgeintermediate
- Cross-functional collaborationintermediate
Required Qualifications
- Proven track record of driving projects or programs that have had a significant impact on business strategy and performance. (experience)
- Excels at advising, presenting to and serving as a thought partner to senior executives. (experience)
- 10+ years of experience in Data Science or related fields. (experience)
- Expertise in SQL and another data manipulation programming language (e.g., Python, R). (experience)
- Proficiency in at least one visualization tool (e.g., Tableau, R-Shiny, Looker). (experience)
- Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand. (experience)
- Experience leading and mentoring teams, with a focus on achieving strategic objectives. (experience)
Preferred Qualifications
- 12+ Years of Experience in Data Science or related fields. (experience)
- Understanding of the SaaS business model and key metrics. (experience)
- Experience in developing insights for Chat, Search, or LLM-based products. (experience)
- Championing the adoption of industry standards in a functional area of Data Science. (experience)
Responsibilities
- Identify key business challenges and develop strategic initiatives for cross-functional business partners.
- Influence Atlassian Intelligence product strategy and roadmaps, and drive impactful change through analysis and recommendations.
- Lead and prioritize multiple workstreams and/or large complex data science programs.
- Drive best practice techniques for communicating complex information, including the development and use of frameworks and conceptual models.
- Lead the evolution of data assets in your team and coordinate with other data science and engineering teams.
- Leverage broader industry knowledge to establish frameworks to measure customer engagement with Atlassian intelligence features.
- Actively share your work and knowledge to benefit work done across data science.
- Proactively enable your data science team to address business needs and navigate change and ambiguity.
- Use your experience and expertise to identify, solve, and bridge gaps/problems across data science and drive programs of work impacting organizational processes that scale Atlassian.
Benefits
- general: Health coverage
- general: Paid volunteer days
- general: Wellness resources
Tags & Categories
Senior Principal Data Scientist
Atlassian
Senior Principal Data Scientist
Job Description
Senior Principal Data Scientist
📋 Job Overview
As a Senior Principal Data Scientist at Atlassian, you will drive strategic initiatives and influence product strategy for Atlassian Intelligence. You will lead complex data science programs, collaborate with cross-functional teams, and leverage industry knowledge to enhance customer engagement with AI products.
📍 Location: San Francisco, United States
🏢 Category: Analytics & Data Science
📅 Posted: 2025-08-04 09:20 PM
🎯 Key Responsibilities
- Identify key business challenges and develop strategic initiatives for cross-functional business partners.
- Influence Atlassian Intelligence product strategy and roadmaps, and drive impactful change through analysis and recommendations.
- Lead and prioritize multiple workstreams and/or large complex data science programs.
- Drive best practice techniques for communicating complex information, including the development and use of frameworks and conceptual models.
- Lead the evolution of data assets in your team and coordinate with other data science and engineering teams.
- Leverage broader industry knowledge to establish frameworks to measure customer engagement with Atlassian intelligence features.
- Actively share your work and knowledge to benefit work done across data science.
- Proactively enable your data science team to address business needs and navigate change and ambiguity.
- Use your experience and expertise to identify, solve, and bridge gaps/problems across data science and drive programs of work impacting organizational processes that scale Atlassian.
✅ Required Qualifications
- Proven track record of driving projects or programs that have had a significant impact on business strategy and performance.
- Excels at advising, presenting to and serving as a thought partner to senior executives.
- 10+ years of experience in Data Science or related fields.
- Expertise in SQL and another data manipulation programming language (e.g., Python, R).
- Proficiency in at least one visualization tool (e.g., Tableau, R-Shiny, Looker).
- Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand.
- Experience leading and mentoring teams, with a focus on achieving strategic objectives.
⭐ Preferred Qualifications
- 12+ Years of Experience in Data Science or related fields.
- Understanding of the SaaS business model and key metrics.
- Experience in developing insights for Chat, Search, or LLM-based products.
- Championing the adoption of industry standards in a functional area of Data Science.
🛠️ Required Skills
- SQL
- Python
- R
- Tableau
- R-Shiny
- Looker
- Statistical concepts (regressions, A/B tests, clustering, probability)
- Leadership
- Mentoring
- Strategic advising
- Presentation skills
- Communication
- Framework development
- Conceptual modeling
- Industry knowledge
- Cross-functional collaboration
🎁 Benefits & Perks
- Health coverage
- Paid volunteer days
- Wellness resources
Locations
- San Francisco, United States
Salary
193,500 - 303,150 USD / yearly
Estimated Salary Rangemedium confidence
250,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQLintermediate
- Pythonintermediate
- Rintermediate
- Tableauintermediate
- R-Shinyintermediate
- Lookerintermediate
- Statistical concepts (regressions, A/B tests, clustering, probability)intermediate
- Leadershipintermediate
- Mentoringintermediate
- Strategic advisingintermediate
- Presentation skillsintermediate
- Communicationintermediate
- Framework developmentintermediate
- Conceptual modelingintermediate
- Industry knowledgeintermediate
- Cross-functional collaborationintermediate
Required Qualifications
- Proven track record of driving projects or programs that have had a significant impact on business strategy and performance. (experience)
- Excels at advising, presenting to and serving as a thought partner to senior executives. (experience)
- 10+ years of experience in Data Science or related fields. (experience)
- Expertise in SQL and another data manipulation programming language (e.g., Python, R). (experience)
- Proficiency in at least one visualization tool (e.g., Tableau, R-Shiny, Looker). (experience)
- Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand. (experience)
- Experience leading and mentoring teams, with a focus on achieving strategic objectives. (experience)
Preferred Qualifications
- 12+ Years of Experience in Data Science or related fields. (experience)
- Understanding of the SaaS business model and key metrics. (experience)
- Experience in developing insights for Chat, Search, or LLM-based products. (experience)
- Championing the adoption of industry standards in a functional area of Data Science. (experience)
Responsibilities
- Identify key business challenges and develop strategic initiatives for cross-functional business partners.
- Influence Atlassian Intelligence product strategy and roadmaps, and drive impactful change through analysis and recommendations.
- Lead and prioritize multiple workstreams and/or large complex data science programs.
- Drive best practice techniques for communicating complex information, including the development and use of frameworks and conceptual models.
- Lead the evolution of data assets in your team and coordinate with other data science and engineering teams.
- Leverage broader industry knowledge to establish frameworks to measure customer engagement with Atlassian intelligence features.
- Actively share your work and knowledge to benefit work done across data science.
- Proactively enable your data science team to address business needs and navigate change and ambiguity.
- Use your experience and expertise to identify, solve, and bridge gaps/problems across data science and drive programs of work impacting organizational processes that scale Atlassian.
Benefits
- general: Health coverage
- general: Paid volunteer days
- general: Wellness resources
Tags & Categories