Resume and JobRESUME AND JOB
Atlassian logo

Senior Data Scientist

Atlassian

Senior Data Scientist

Atlassian logo

Atlassian

full-time

Posted: November 3, 2025

Number of Vacancies: 1

Job Description

Senior Data Scientist

📋 Job Overview

As a Senior Data Scientist at Atlassian, you will join a world-class Data Science team to drive insights about products and customers. You will collaborate with cross-functional teams to solve business challenges and influence product roadmaps through data-driven strategies and recommendations.

📍 Location: Sydney, Australia

🏢 Category: Analytics & Data Science

📅 Posted: 2025-11-03 05:34 AM

🎯 Key Responsibilities

  • Collaborate on product and business problems with cross-functional partners and become a trusted strategic partner
  • Apply technical expertise in quantitative analysis, experimentation, and data presentation to develop business strategies and solve challenges
  • Develop hypotheses through analytical approaches, methodologies, frameworks, and technical approaches
  • Define, understand, and test opportunities to improve products 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 key product metrics to understand trends

✅ Required Qualifications

  • Bachelor’s degree or equivalent in a STEM field (e.g. statistics, mathematics, physics, econometrics, or computer science)
  • Proven experience in Data Science or related fields
  • Proficiency in SQL OR another data manipulation programming language (e.g. Python, R)
  • Experience telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker)
  • Working knowledge of basic statistical concepts (e.g. regressions, A/B tests, clustering, probability) and how to apply them to practical questions
  • Experience applying analytics skills to projects impacting business strategy and performance
  • Ability to craft analysis into well-written content

🛠️ Required Skills

  • Quantitative analysis
  • Experimentation
  • Data presentation
  • SQL
  • Python
  • R
  • Data storytelling
  • Tableau
  • R-Shiny
  • Microstrategy
  • SAP Business Objects
  • Looker
  • Statistical concepts (regressions, A/B tests, clustering, probability)
  • Analytics
  • Well-written content creation

🎁 Benefits & Perks

  • Health and wellbeing resources
  • Paid volunteer days
  • Wide range of perks and benefits to support employees and their families

Locations

  • Sydney, Australia

Salary

Estimated Salary Rangemedium confidence

150,000 - 220,000 AUD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Quantitative analysisintermediate
  • Experimentationintermediate
  • Data presentationintermediate
  • SQLintermediate
  • Pythonintermediate
  • Rintermediate
  • Data storytellingintermediate
  • Tableauintermediate
  • R-Shinyintermediate
  • Microstrategyintermediate
  • SAP Business Objectsintermediate
  • Lookerintermediate
  • Statistical concepts (regressions, A/B tests, clustering, probability)intermediate
  • Analyticsintermediate
  • Well-written content creationintermediate

Required Qualifications

  • Bachelor’s degree or equivalent in a STEM field (e.g. statistics, mathematics, physics, econometrics, or computer science) (experience)
  • Proven experience in Data Science or related fields (experience)
  • Proficiency in SQL OR another data manipulation programming language (e.g. Python, R) (experience)
  • Experience telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker) (experience)
  • Working knowledge of basic statistical concepts (e.g. regressions, A/B tests, clustering, probability) and how to apply them to practical questions (experience)
  • Experience applying analytics skills to projects impacting business strategy and performance (experience)
  • Ability to craft analysis into well-written content (experience)

Responsibilities

  • Collaborate on product and business problems with cross-functional partners and become a trusted strategic partner
  • Apply technical expertise in quantitative analysis, experimentation, and data presentation to develop business strategies and solve challenges
  • Develop hypotheses through analytical approaches, methodologies, frameworks, and technical approaches
  • Define, understand, and test opportunities to improve products 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 key product metrics to understand trends

Benefits

  • general: Health and wellbeing resources
  • general: Paid volunteer days
  • general: Wide range of perks and benefits to support employees and their families

Target Your Resume for "Senior Data Scientist" , Atlassian

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Tags & Categories

Analytics & Data ScienceSydneyAustraliaAnalytics & Data Science

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Atlassian logo

Senior Data Scientist

Atlassian

Senior Data Scientist

Atlassian logo

Atlassian

full-time

Posted: November 3, 2025

Number of Vacancies: 1

Job Description

Senior Data Scientist

📋 Job Overview

As a Senior Data Scientist at Atlassian, you will join a world-class Data Science team to drive insights about products and customers. You will collaborate with cross-functional teams to solve business challenges and influence product roadmaps through data-driven strategies and recommendations.

📍 Location: Sydney, Australia

🏢 Category: Analytics & Data Science

📅 Posted: 2025-11-03 05:34 AM

🎯 Key Responsibilities

  • Collaborate on product and business problems with cross-functional partners and become a trusted strategic partner
  • Apply technical expertise in quantitative analysis, experimentation, and data presentation to develop business strategies and solve challenges
  • Develop hypotheses through analytical approaches, methodologies, frameworks, and technical approaches
  • Define, understand, and test opportunities to improve products 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 key product metrics to understand trends

✅ Required Qualifications

  • Bachelor’s degree or equivalent in a STEM field (e.g. statistics, mathematics, physics, econometrics, or computer science)
  • Proven experience in Data Science or related fields
  • Proficiency in SQL OR another data manipulation programming language (e.g. Python, R)
  • Experience telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker)
  • Working knowledge of basic statistical concepts (e.g. regressions, A/B tests, clustering, probability) and how to apply them to practical questions
  • Experience applying analytics skills to projects impacting business strategy and performance
  • Ability to craft analysis into well-written content

🛠️ Required Skills

  • Quantitative analysis
  • Experimentation
  • Data presentation
  • SQL
  • Python
  • R
  • Data storytelling
  • Tableau
  • R-Shiny
  • Microstrategy
  • SAP Business Objects
  • Looker
  • Statistical concepts (regressions, A/B tests, clustering, probability)
  • Analytics
  • Well-written content creation

🎁 Benefits & Perks

  • Health and wellbeing resources
  • Paid volunteer days
  • Wide range of perks and benefits to support employees and their families

Locations

  • Sydney, Australia

Salary

Estimated Salary Rangemedium confidence

150,000 - 220,000 AUD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Quantitative analysisintermediate
  • Experimentationintermediate
  • Data presentationintermediate
  • SQLintermediate
  • Pythonintermediate
  • Rintermediate
  • Data storytellingintermediate
  • Tableauintermediate
  • R-Shinyintermediate
  • Microstrategyintermediate
  • SAP Business Objectsintermediate
  • Lookerintermediate
  • Statistical concepts (regressions, A/B tests, clustering, probability)intermediate
  • Analyticsintermediate
  • Well-written content creationintermediate

Required Qualifications

  • Bachelor’s degree or equivalent in a STEM field (e.g. statistics, mathematics, physics, econometrics, or computer science) (experience)
  • Proven experience in Data Science or related fields (experience)
  • Proficiency in SQL OR another data manipulation programming language (e.g. Python, R) (experience)
  • Experience telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker) (experience)
  • Working knowledge of basic statistical concepts (e.g. regressions, A/B tests, clustering, probability) and how to apply them to practical questions (experience)
  • Experience applying analytics skills to projects impacting business strategy and performance (experience)
  • Ability to craft analysis into well-written content (experience)

Responsibilities

  • Collaborate on product and business problems with cross-functional partners and become a trusted strategic partner
  • Apply technical expertise in quantitative analysis, experimentation, and data presentation to develop business strategies and solve challenges
  • Develop hypotheses through analytical approaches, methodologies, frameworks, and technical approaches
  • Define, understand, and test opportunities to improve products 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 key product metrics to understand trends

Benefits

  • general: Health and wellbeing resources
  • general: Paid volunteer days
  • general: Wide range of perks and benefits to support employees and their families

Target Your Resume for "Senior Data Scientist" , Atlassian

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

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

Check Your ATS Score for "Senior 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.