Principal Data Scientist

Posted 13 Hours Ago
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Hiring Remotely in Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office or Remote
Expert/Leader
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Atlassian provides tools to help every team unleash their full potential.
The Role
Lead data science and AI initiatives for Service Collection: define metrics and KRs, build measurement frameworks and ML/LLM models, partner with cross-functional teams, influence product roadmap, and mentor data scientists.
Summary Generated by Built In
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
  • 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

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.
  • 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.

Skills Required

  • Experience applying Data Science skills to identify and lead projects impacting business strategy and performance
  • 9+ years of experience in Data Science or related fields
  • 10+ years experience with a post-graduate degree in a quantitative discipline (Statistics, Mathematics, Econometrics, Computer Science)
  • Expertise in applying a broad variety of ML methods including LLMs
  • Expertise in SQL
  • Expertise in another data science programming language (e.g., Python, R) and libraries like Pandas, Numpy, Scikit-learn
  • Proficiency in visualization tools (Streamlit, Tableau, R-shiny) and libraries (matplotlib, bokeh)
  • Comfort explaining complex concepts to diverse audiences and creating compelling non-technical stories
  • High standard for output quality and ability to balance speed versus perfection

What the Team is Saying

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Atlassian Compensation & Benefits Highlights

  • Parental & Family Support Generous paid parental leave (26 weeks for birthing parents and 20 weeks for non‑birthing parents) is paired with inclusive family‑formation benefits such as fertility, adoption, and surrogacy support. Caregiving resources, onsite Mother’s Rooms in some locations, and breastmilk shipping for business travel reinforce a family‑friendly approach.
  • Retirement Support A company 401(k) match with immediate vesting, along with retirement planning support and broader financial wellbeing resources, strengthens long‑term security. These offerings complement market‑based cash compensation to round out total rewards.
  • Flexible Benefits The “Team Anywhere” model is backed by a monthly remote‑work allowance, ergonomic resources, and a Flex Wallet that can be applied to a wide range of reimbursable expenses. Learning budgets and paid volunteer time further expand choice and lifestyle flexibility.

Atlassian Insights

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The Company
HQ: San Francisco, CA
11,000 Employees
Year Founded: 2012

What We Do

Atlassian creates teamwork solutions for high-performing teams. Our portfolio of collaboration and work management software products includes Jira, Confluence, Trello, Loom and Rovo. More than 300,000 businesses worldwide rely on Atlassian’s technology, including 80 percent of Fortune 500 companies. Our solutions support various business teams and they help organizations plan, track, and deliver their biggest ideas together.

Why Work With Us

At Atlassian, we believe we can accomplish so much more together than apart — which is why everything from our tooling — to our distributed workforce — to how our teams are structured is rooted in collaboration. Come join us and help unleash the potential of every team.

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Employees work remotely.

Atlassians have flexibility in where they work to support their family, personal goals, and other priorities. Our approach to distributed work allows us to tap into talent beyond our office locations, and to reimagine how work gets done.

Typical time on-site: None
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