Principal Data Scientist
Atlassian
Principal Data Scientist
Job Description
Principal Data Scientist
📋 Job Overview
As a Principal Data Scientist at Atlassian, you will leverage data to drive insights about products and customers, collaborating with cross-functional teams to influence product development and business strategies. You will apply advanced analytical techniques to solve complex business challenges and communicate insights effectively to leadership.
📍 Location: Bengaluru, India
🏢 Category: Analytics & Data Science
📅 Posted: 2025-11-24 03:03 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.
- Define, understand, and test opportunities to improve the products and business 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 of key product metrics to understand trends.
- Use data to shape product 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
- 9+ Years of Experience in Data Science or related fields
- Proficiency in SQL AND another data manipulation programming language (e.g Python, R)
- 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 through your analytics skills
- 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
🛠️ Required Skills
- SQL
- Python
- R
- Tableau
- R-Shiny
- Microstrategy
- SAP Business Objects
- Looker
- Regressions
- A/B tests
- Clustering
- Probability
- Quantitative analysis
- Experimentation
- Data presentation
- Storytelling
- Analytical approaches
- Methodologies
- Frameworks
- Technical approaches
- Forecasting
- Monitoring
- Communication
🎁 Benefits & Perks
- Flexibility to choose where to work - whether in an office, from home, or a combination of the two
- Support for family, personal goals, and other priorities
- Ability to be hired in any country where Atlassian has a legal entity
- Virtual interviews and onboarding as part of being a distributed-first company
Locations
- Bengaluru, India
Salary
Estimated Salary Rangemedium confidence
4,000,000 - 6,000,000 INR / 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
- Microstrategyintermediate
- SAP Business Objectsintermediate
- Lookerintermediate
- Regressionsintermediate
- A/B testsintermediate
- Clusteringintermediate
- Probabilityintermediate
- Quantitative analysisintermediate
- Experimentationintermediate
- Data presentationintermediate
- Storytellingintermediate
- Analytical approachesintermediate
- Methodologiesintermediate
- Frameworksintermediate
- Technical approachesintermediate
- Forecastingintermediate
- Monitoringintermediate
- Communicationintermediate
Required Qualifications
- 9+ 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 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 through your analytics skills (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)
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.
- Define, understand, and test opportunities to improve the products and business 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 of key product metrics to understand trends.
- Use data to shape product 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: Flexibility to choose where to work - whether in an office, from home, or a combination of the two
- general: Support for family, personal goals, and other priorities
- general: Ability to be hired in any country where Atlassian has a legal entity
- general: Virtual interviews and onboarding as part of being a distributed-first company
Tags & Categories
Principal Data Scientist
Atlassian
Principal Data Scientist
Job Description
Principal Data Scientist
📋 Job Overview
As a Principal Data Scientist at Atlassian, you will leverage data to drive insights about products and customers, collaborating with cross-functional teams to influence product development and business strategies. You will apply advanced analytical techniques to solve complex business challenges and communicate insights effectively to leadership.
📍 Location: Bengaluru, India
🏢 Category: Analytics & Data Science
📅 Posted: 2025-11-24 03:03 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.
- Define, understand, and test opportunities to improve the products and business 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 of key product metrics to understand trends.
- Use data to shape product 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
- 9+ Years of Experience in Data Science or related fields
- Proficiency in SQL AND another data manipulation programming language (e.g Python, R)
- 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 through your analytics skills
- 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
🛠️ Required Skills
- SQL
- Python
- R
- Tableau
- R-Shiny
- Microstrategy
- SAP Business Objects
- Looker
- Regressions
- A/B tests
- Clustering
- Probability
- Quantitative analysis
- Experimentation
- Data presentation
- Storytelling
- Analytical approaches
- Methodologies
- Frameworks
- Technical approaches
- Forecasting
- Monitoring
- Communication
🎁 Benefits & Perks
- Flexibility to choose where to work - whether in an office, from home, or a combination of the two
- Support for family, personal goals, and other priorities
- Ability to be hired in any country where Atlassian has a legal entity
- Virtual interviews and onboarding as part of being a distributed-first company
Locations
- Bengaluru, India
Salary
Estimated Salary Rangemedium confidence
4,000,000 - 6,000,000 INR / 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
- Microstrategyintermediate
- SAP Business Objectsintermediate
- Lookerintermediate
- Regressionsintermediate
- A/B testsintermediate
- Clusteringintermediate
- Probabilityintermediate
- Quantitative analysisintermediate
- Experimentationintermediate
- Data presentationintermediate
- Storytellingintermediate
- Analytical approachesintermediate
- Methodologiesintermediate
- Frameworksintermediate
- Technical approachesintermediate
- Forecastingintermediate
- Monitoringintermediate
- Communicationintermediate
Required Qualifications
- 9+ 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 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 through your analytics skills (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)
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.
- Define, understand, and test opportunities to improve the products and business 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 of key product metrics to understand trends.
- Use data to shape product 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: Flexibility to choose where to work - whether in an office, from home, or a combination of the two
- general: Support for family, personal goals, and other priorities
- general: Ability to be hired in any country where Atlassian has a legal entity
- general: Virtual interviews and onboarding as part of being a distributed-first company
Tags & Categories