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Principal Data Scientist

Bengaluru

Pay
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Work setup
Remote — work setup source
Work setup in the employer’s listing: TELECOMMUTE
From the employer’s posting
Employment
Unconfirmed
Apply at Atlassian

What you’ll work on

Full posting
  • Build measurement frameworks, ML models and tooling to inform the product roadmap

  • Envision, scope and lead high-impact projects with engineering, product and design

  • Influence strategy and key decisions for Service Collection using data science

  • Define and report department-level KRs to the Service Collection R&D team

  • Lead training and mentor data scientists on the team

From the employer’s posting
Build and implement measurement frameworks, machine learning models and other tooling
Envision, scope, and lead high impact projects by collaborating with Engineering, Product Management and Design
Influence strategy & important decisions around Service Collection by blending end-to-end business acumen with advanced data science methodologies
Define, set and report on department level KRs to the Service Collection R&D team
Foster a world-class Data Science culture by leading training on technical concepts, driving continuous learning and mentoring Data Scientists on the team

What you’ll bring

All qualifications

Core experience

  • Experience applying your Data Science skills to identify and lead projects which have had impact on business strategy and performance
  • 9+ years of experience in Data Science or related fields.
  • Expertise in applying a broad variety of ML methods including LLM to solve business problems and a strong sense of when to apply them to the problem at hand
  • Expertise in SQL and in another data science programming language (e.g Python, R) with expertise in libraries like Pandas, Numpy, Scikit-learn etc.
  • Proficiency in visualization tools (e.g.
Qualification wording
Experience applying your Data Science skills to identify and lead projects which have had impact on business strategy and performance
9+ years of experience in Data Science or related fields. (Preferred - 10+ years experience with a post-graduate degree in a quantitative discipline like Statistics, Mathematics, Econometrics, Computer science)
Expertise in applying a broad variety of ML methods including LLM to solve business problems and a strong sense of when to apply them to the problem at hand
Expertise in SQL and in another data science programming language (e.g Python, R) with expertise in libraries like Pandas, Numpy, Scikit-learn etc.
Proficiency in visualization tools (e.g. Streamlit, Tableau, R-shiny) and libraries (e.g. - matplotlib, bokeh)

Tools in this posting

  • Python
  • R
  • SQL
  • Tableau
  • Matplotlib
  • NumPy
  • pandas
  • scikit-learn
  • Streamlit
Source — Tool mentions in context
- Expertise in applying a broad variety of ML methods including LLM to solve business problems and a strong sense of when to apply them to the problem at hand - Expertise in SQL and in another data science programming language (e.g Python, R) with expertise in libraries like Pandas, Numpy, Scikit-learn etc. - A very high bar for output quality, while balancing "having something now" vs. "perfection in the future"
- Comfort explaining complex concepts to diverse audiences and creating compelling stories for non-data experts - Proficiency in visualization tools (e.g. Streamlit, Tableau, R-shiny) and libraries (e.g. - matplotlib, bokeh) Benefits & Perks

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

Posting record

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Status in our records
Live
First seen by us
Aug 16, 2026 · 63d ago
Recorded sightings
74
Last seen by us
Oct 17, 2026

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Job description

View original posting ↗

Overview

Overview

Does the challenge of scaling a fast-growing company with the latest in data science and AI methodologies and tooling excite you?

Using your business instincts and creativity, you will leverage your business, data science, analytics and AI acumen to support a highly strategic, mission-critical initiative for Service Collection. This role aims to leverage analytics, data science and AI/ML to identify opportunities, build tools and solutions that will influence our Service Collection roadmap.  If you love blazing new innovative trails, making the complex simple and driving decision-making speed across business units with data insights, then read on!  

 

Atlassian is looking for a Principal Data Scientist to be the wizard who will uncover valuable insights from large amounts of data which will help the business improve our products. We're looking for someone with superb business instincts, comfort with executive stakeholders, proficiency in statistical analyses, expertise in AI/LLM, experience partnering with cross-functional teams and mentoring junior data scientists.

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

Responsibilities

  • Influence strategy & important decisions around Service Collection by blending end-to-end business acumen with advanced data science methodologies

  • Define, set and report on department level KRs to the Service Collection R&D team

  • Build and implement measurement frameworks, machine learning models and other tooling leveraging various data science methods to accelerate Atlassian’s growth and influence our product roadmap.

  • Envision, scope, and lead high impact projects by collaborating with Engineering, Product Management and Design, Data Engineering and Research and Insights teams.

  • Foster a world-class Data Science culture by leading training on technical concepts, driving continuous learning and mentoring Data Scientists on the team

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

  • Experience applying your Data Science skills to identify and lead projects which have had impact on business strategy and performance

  • 9+ years of experience in Data Science or related fields. (Preferred - 10+ years experience with a post-graduate degree in a quantitative discipline like Statistics, Mathematics, Econometrics, Computer science)

  • Expertise in applying a broad variety of ML methods including LLM to solve business problems and a strong sense of when to apply them to the problem at hand

  • Expertise in SQL and in another data science programming language (e.g Python, R) with expertise in libraries like Pandas, Numpy, Scikit-learn etc.

  • A very high bar for output quality, while balancing "having something now" vs. "perfection in the future"

  • Comfort explaining complex concepts to diverse audiences and creating compelling stories for non-data experts

  • Proficiency in visualization tools (e.g. Streamlit, Tableau, R-shiny) and libraries (e.g. - matplotlib, bokeh)

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.

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Bengaluru

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