Senior Data Scientist
Atlassian
Senior Data Scientist
Job Description
Senior Data Scientist
📋 Job Overview
As a Senior Data Scientist at Atlassian, you will collaborate with cross-functional teams to drive product and business strategies using data-driven insights. You will apply your expertise in quantitative analysis and experimentation to solve key business challenges and influence product roadmaps. This remote role requires you to be located in the Pacific/Mountain timezones.
📍 Location: San Francisco, United States
🏢 Category: Analytics & Data Science
📅 Posted: 2025-12-09 10:35 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.
✅ Required Qualifications
- 5+ 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.)
- Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems
- Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills
- Ability to craft analysis into well-written and persuasive content
⭐ Preferred Qualifications
- 7+ Years of Experience in Data Science or related fields OR 5+ Years of experience in Data Science along with a post-graduate degree or equivalent in a related field
- An understanding of the SaaS business model and key metrics
🛠️ 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 with data
- analytical approaches
- different methodologies
- frameworks
- technical approaches
- forecasting
- monitoring of key product metrics
- cross-functional collaboration
- strategic partnership
- persuasive content creation
🎁 Benefits & Perks
- health coverage
- paid volunteer days
- wellness resources
Locations
- San Francisco, United States
Salary
Estimated Salary Rangemedium confidence
150,000 - 220,000 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
- Microstrategyintermediate
- SAP Business Objectsintermediate
- Lookerintermediate
- regressionsintermediate
- A/B testsintermediate
- clusteringintermediate
- probabilityintermediate
- quantitative analysisintermediate
- experimentationintermediate
- data presentationintermediate
- storytelling with dataintermediate
- analytical approachesintermediate
- different methodologiesintermediate
- frameworksintermediate
- technical approachesintermediate
- forecastingintermediate
- monitoring of key product metricsintermediate
- cross-functional collaborationintermediate
- strategic partnershipintermediate
- persuasive content creationintermediate
Required Qualifications
- 5+ 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)
- Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems (experience)
- Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills (experience)
- Ability to craft analysis into well-written and persuasive content (experience)
Preferred Qualifications
- 7+ Years of Experience in Data Science or related fields OR 5+ Years of experience in Data Science along with a post-graduate degree or equivalent in a related field (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.
- 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.
Benefits
- general: health coverage
- general: paid volunteer days
- general: wellness resources
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 collaborate with cross-functional teams to drive product and business strategies using data-driven insights. You will apply your expertise in quantitative analysis and experimentation to solve key business challenges and influence product roadmaps. This remote role requires you to be located in the Pacific/Mountain timezones.
📍 Location: San Francisco, United States
🏢 Category: Analytics & Data Science
📅 Posted: 2025-12-09 10:35 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.
✅ Required Qualifications
- 5+ 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.)
- Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems
- Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills
- Ability to craft analysis into well-written and persuasive content
⭐ Preferred Qualifications
- 7+ Years of Experience in Data Science or related fields OR 5+ Years of experience in Data Science along with a post-graduate degree or equivalent in a related field
- An understanding of the SaaS business model and key metrics
🛠️ 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 with data
- analytical approaches
- different methodologies
- frameworks
- technical approaches
- forecasting
- monitoring of key product metrics
- cross-functional collaboration
- strategic partnership
- persuasive content creation
🎁 Benefits & Perks
- health coverage
- paid volunteer days
- wellness resources
Locations
- San Francisco, United States
Salary
Estimated Salary Rangemedium confidence
150,000 - 220,000 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
- Microstrategyintermediate
- SAP Business Objectsintermediate
- Lookerintermediate
- regressionsintermediate
- A/B testsintermediate
- clusteringintermediate
- probabilityintermediate
- quantitative analysisintermediate
- experimentationintermediate
- data presentationintermediate
- storytelling with dataintermediate
- analytical approachesintermediate
- different methodologiesintermediate
- frameworksintermediate
- technical approachesintermediate
- forecastingintermediate
- monitoring of key product metricsintermediate
- cross-functional collaborationintermediate
- strategic partnershipintermediate
- persuasive content creationintermediate
Required Qualifications
- 5+ 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)
- Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems (experience)
- Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills (experience)
- Ability to craft analysis into well-written and persuasive content (experience)
Preferred Qualifications
- 7+ Years of Experience in Data Science or related fields OR 5+ Years of experience in Data Science along with a post-graduate degree or equivalent in a related field (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.
- 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.
Benefits
- general: health coverage
- general: paid volunteer days
- general: wellness resources
Tags & Categories