Principal Data Scientist

Overview

Are you eager to apply cutting-edge data science, AI, and analytics tools to scale a rapidly expanding company? In this pivotal role at Atlassian, you will combine sharp business judgment and innovative thinking to advance strategic, mission-critical objectives for the Service Collection team. Your expertise in data science and AI will be harnessed to uncover valuable insights, drive product development, and enable faster, data-driven decisions across business units.

This position requires collaborating closely with diverse stakeholders, applying statistical analyses, and mentoring junior data scientists to foster a high-performance culture.

Responsibilities

• Shape the strategic direction and key decisions for Service Collection by integrating strong business insight with sophisticated data science techniques.
• Establish, track, and report on key results at the departmental level for the Service Collection R&D group.
• Develop and deploy measurement frameworks, machine learning models, and other advanced tools to accelerate growth and guide product planning.
• Lead impactful projects by working collaboratively with Engineering, Product, Design, Data Engineering, and Research and Insights teams.
• Promote excellence in data science through training initiatives, continuous development programs, and active mentorship of data science team members.

Qualifications

• Proven track record in leveraging data science to inform and enhance business strategy and outcomes.
• At least 9 years of experience in data science or related areas; preferred 10+ years, ideally combined with a graduate degree in quantitative fields such as Statistics, Mathematics, Econometrics, or Computer Science.
• Deep expertise in a broad array of machine learning techniques, including large language models (LLM), with strong judgment on method selection based on business needs.
• Advanced skills in SQL and at least one data science programming language like Python or R, including proficiency with libraries such as Pandas, NumPy, and Scikit-learn.
• High standards for delivering quality results while balancing the need for timely solutions versus perfect outcomes.
• Effective communication skills with the ability to explain complex data concepts to non-technical audiences and craft engaging narratives.
• Experience with visualization tools and libraries such as Streamlit, Tableau, R-Shiny, Matplotlib, and Bokeh.

Compensation and Benefits

Atlassian is committed to equitable and transparent compensation practices, taking into account each candidate's expertise and experience. In addition to a competitive salary, this role may qualify for bonuses, commissions, equity, and a comprehensive range of benefits. Atlassian supports health, well-being, paid volunteer days, and community engagement opportunities to support you and your family.

Additional Information

Atlassian values diversity and inclusion, ensuring a discrimination-free workplace where all perspectives are welcomed. Employment requires identity verification to prevent fraud, potentially including biometric data. Flexible workplace options allow working from the office, home, or hybrid arrangements depending on location and team needs.