Resume and JobRESUME AND JOB
Atlassian logo

Principal Data Scientist

Atlassian

Principal Data Scientist

Atlassian logo

Atlassian

full-time

Posted: November 30, 2025

Number of Vacancies: 1

Job Description

Principal Data Scientist

📋 Job Overview

As a Principal Data Scientist at Atlassian, you will leverage data to drive insights and shape strategies for AI-powered capabilities and consumption-based monetization. You will collaborate with cross-functional teams to solve business challenges and use data to inform product development and pricing strategies.

📍 Location: Sydney, Australia

🏢 Category: Analytics & Data Science

📅 Posted: 2025-11-30 08:18 PM

🎯 Key Responsibilities

  • 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.
  • Analyze real-world use cases and consumption patterns to inform pricing, forecasting, and elasticity modeling.
  • 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.
  • Use data to shape platform development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian.
  • Use storytelling techniques to communicate insights broadly, including to company leadership teams.

✅ Required Qualifications

  • 8+ Years of Experience in Data Science or related fields
  • Proficiency in SQL AND another data manipulation programming language (e.g Python, R)
  • Expertise in modelling and forecasting timeseries
  • Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)
  • 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 driving projects or programs which have had proven impact on business strategy and performance
  • A proven track record for crafting analysis into well-written content
  • Experience advising, presenting to and serving as a thought partner to senior executives

⭐ Preferred Qualifications

  • 10+ Years of Experience in Data Science or related fields
  • Engineering and/or integration background
  • An understanding of the SaaS business model and key metrics

🛠️ Required Skills

  • SQL
  • Python
  • R
  • timeseries modelling
  • forecasting
  • data visualization
  • Tableau
  • R-Shiny
  • Microstrategy
  • SAP Business Objects
  • Looker
  • statistical concepts
  • regressions
  • A/B tests
  • clustering
  • probability
  • storytelling
  • quantitative analysis
  • experimentation

🎁 Benefits & Perks

  • health and wellbeing resources
  • paid volunteer days

Locations

  • Sydney, Australia

Salary

Estimated Salary Rangemedium confidence

200,000 - 280,000 AUD / 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
  • timeseries modellingintermediate
  • forecastingintermediate
  • data visualizationintermediate
  • Tableauintermediate
  • R-Shinyintermediate
  • Microstrategyintermediate
  • SAP Business Objectsintermediate
  • Lookerintermediate
  • statistical conceptsintermediate
  • regressionsintermediate
  • A/B testsintermediate
  • clusteringintermediate
  • probabilityintermediate
  • storytellingintermediate
  • quantitative analysisintermediate
  • experimentationintermediate

Required Qualifications

  • 8+ Years of Experience in Data Science or related fields (experience)
  • Proficiency in SQL AND another data manipulation programming language (e.g Python, R) (experience)
  • Expertise in modelling and forecasting timeseries (experience)
  • Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.) (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 driving projects or programs which have had proven impact on business strategy and performance (experience)
  • A proven track record for crafting analysis into well-written content (experience)
  • Experience advising, presenting to and serving as a thought partner to senior executives (experience)

Preferred Qualifications

  • 10+ Years of Experience in Data Science or related fields (experience)
  • Engineering and/or integration background (experience)
  • An understanding of the SaaS business model and key metrics (experience)

Responsibilities

  • 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.
  • Analyze real-world use cases and consumption patterns to inform pricing, forecasting, and elasticity modeling.
  • 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.
  • Use data to shape platform development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian.
  • Use storytelling techniques to communicate insights broadly, including to company leadership teams.

Benefits

  • general: health and wellbeing resources
  • general: paid volunteer days

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Atlassian logo

Principal Data Scientist

Atlassian

Principal Data Scientist

Atlassian logo

Atlassian

full-time

Posted: November 30, 2025

Number of Vacancies: 1

Job Description

Principal Data Scientist

📋 Job Overview

As a Principal Data Scientist at Atlassian, you will leverage data to drive insights and shape strategies for AI-powered capabilities and consumption-based monetization. You will collaborate with cross-functional teams to solve business challenges and use data to inform product development and pricing strategies.

📍 Location: Sydney, Australia

🏢 Category: Analytics & Data Science

📅 Posted: 2025-11-30 08:18 PM

🎯 Key Responsibilities

  • 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.
  • Analyze real-world use cases and consumption patterns to inform pricing, forecasting, and elasticity modeling.
  • 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.
  • Use data to shape platform development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian.
  • Use storytelling techniques to communicate insights broadly, including to company leadership teams.

✅ Required Qualifications

  • 8+ Years of Experience in Data Science or related fields
  • Proficiency in SQL AND another data manipulation programming language (e.g Python, R)
  • Expertise in modelling and forecasting timeseries
  • Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)
  • 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 driving projects or programs which have had proven impact on business strategy and performance
  • A proven track record for crafting analysis into well-written content
  • Experience advising, presenting to and serving as a thought partner to senior executives

⭐ Preferred Qualifications

  • 10+ Years of Experience in Data Science or related fields
  • Engineering and/or integration background
  • An understanding of the SaaS business model and key metrics

🛠️ Required Skills

  • SQL
  • Python
  • R
  • timeseries modelling
  • forecasting
  • data visualization
  • Tableau
  • R-Shiny
  • Microstrategy
  • SAP Business Objects
  • Looker
  • statistical concepts
  • regressions
  • A/B tests
  • clustering
  • probability
  • storytelling
  • quantitative analysis
  • experimentation

🎁 Benefits & Perks

  • health and wellbeing resources
  • paid volunteer days

Locations

  • Sydney, Australia

Salary

Estimated Salary Rangemedium confidence

200,000 - 280,000 AUD / 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
  • timeseries modellingintermediate
  • forecastingintermediate
  • data visualizationintermediate
  • Tableauintermediate
  • R-Shinyintermediate
  • Microstrategyintermediate
  • SAP Business Objectsintermediate
  • Lookerintermediate
  • statistical conceptsintermediate
  • regressionsintermediate
  • A/B testsintermediate
  • clusteringintermediate
  • probabilityintermediate
  • storytellingintermediate
  • quantitative analysisintermediate
  • experimentationintermediate

Required Qualifications

  • 8+ Years of Experience in Data Science or related fields (experience)
  • Proficiency in SQL AND another data manipulation programming language (e.g Python, R) (experience)
  • Expertise in modelling and forecasting timeseries (experience)
  • Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.) (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 driving projects or programs which have had proven impact on business strategy and performance (experience)
  • A proven track record for crafting analysis into well-written content (experience)
  • Experience advising, presenting to and serving as a thought partner to senior executives (experience)

Preferred Qualifications

  • 10+ Years of Experience in Data Science or related fields (experience)
  • Engineering and/or integration background (experience)
  • An understanding of the SaaS business model and key metrics (experience)

Responsibilities

  • 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.
  • Analyze real-world use cases and consumption patterns to inform pricing, forecasting, and elasticity modeling.
  • 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.
  • Use data to shape platform development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian.
  • Use storytelling techniques to communicate insights broadly, including to company leadership teams.

Benefits

  • general: health and wellbeing resources
  • general: paid volunteer days

Target Your Resume for "Principal Data Scientist" , Atlassian

Get personalized recommendations to optimize your resume specifically for Principal Data Scientist. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Principal Data Scientist" , Atlassian

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Analytics & Data ScienceSydneyAustraliaAnalytics & Data Science

Related Jobs You May Like

No related jobs found at the moment.