Principal Data Scientist

Atlassian India Llp; Bengaluru; Hybrid; INR 6,000,000 - 9,000,000; Full time

Benefits offered by this job

Health and wellbeing resources

Paid volunteer days

Job summary

Atlassian India LLP seeks a Principal Data Scientist to uncover insights from large data assets and influence product roadmaps. You will lead end-to-end DS initiatives, mentor junior data scientists and partner with Engineering, Product, Design and Data Engineering to accelerate growth.

The role requires deep ML/AI expertise, strong business instincts, and the ability to communicate with senior stakeholders. Remote-friendly with global hiring options.

Qualifications

• 9+ years in Data Science or related fields (10+ years with a quantitative post‑grad degree preferred).

Responsibilities

• Influence strategy and key decisions for Service Collection using advanced data science.
• Define, report and monitor KR for the R&D team.

Skills

LLM applications

Data science leadership

Executive storytelling

SQL

Education

Post-graduate degree in Statistics/Math/Econometrics/CS

Tools

Python

Pandas

Numpy

Scikit-learn

SQL

Streamlit/Tableau/R-shiny

Job description

Principal Data Scientist 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

• 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.

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.

Experience Level

Senior Level