Senior Data Scientist
Atlassian
Senior Data Scientist
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
Tags & Categories
Senior Data Scientist
Atlassian
Senior Data Scientist
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
Tags & Categories