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Principal Data Scientist

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What you’ll work on

Full posting
  • 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

From the employer’s posting
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
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.

What you’ll bring

All qualifications

Core experience

  • 8+ Years of Experience in Data Science or related fields
  • Experience advising, presenting to and serving as a thought partner to senior executives
  • 10+ 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.
  • Expertise in applying a broad variety of statistical concepts (e.g.
Qualification wording
8+ Years of Experience in Data Science or related fields
Experience advising, presenting to and serving as a thought partner to senior executives
10+ 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

Tools in this posting

  • Python
  • SQL
  • Looker
  • Tableau
  • R
Source — Tool mentions in context
- 8+ 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.)
- 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

Benefits in the posting

Full benefits wording
  • Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.

From the employer’s posting.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team.

In the employer’s words · Read in context

Job description

View original posting ↗

Overview

Are you an analytics champion with a deep toolset who thrives on helping business partners strategize, implement and measure data-driven initiatives? Do you relish the opportunity to dive headfirst into vast, high-impact projects and make foundational contributions across analytics, strategy and operations? Are you energized working closely with the business to turn data into beautiful, high impact visualizations to power leadership decisions? If so, this role is for you!

As a Principal Data Scientist on our Team, you will partner closely with key business leads, focusing on some of the most exciting challenges Atlassian faces.

Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.

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.

  • You will 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.

  • You will use storytelling techniques to communicate insights broadly, including to company leadership teams.

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.

This role may also be eligible for benefits, bonuses, commissions, and equity.

Qualifications

Minimum Qualifications / Your background:

  • 8+ 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

Desirable Qualifications

This section is standardized across all P60 Data Science roles.

  • 10+ Years of Experience in Data Science or related fields

  • An understanding of the SaaS business model and key metrics

Benefits & Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on careers-apac-atlassian.icims.com. The employer’s form will show what is required.

Already applied? Track this application

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Status in our records
Active
First seen by us
Aug 16, 2026
Recorded sightings
58
Last seen by us
Oct 8, 2026

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