New opportunity

Principal Data Scientist

Atlassian · Bengaluru, India

About this role

Atlassian is seeking a Principal Data Scientist for its Service Collection initiative. The role uses analytics, data science and AI/ML to uncover insights from large datasets, identify opportunities, build solutions and inform product strategy and the Service Collection roadmap.

Responsibilities

  • Influence Service Collection strategy and decisions through business understanding and advanced data science methods. Define, set and report department-level key results to the Service Collection R&D team.
  • Build measurement frameworks, machine learning models and other tools to support growth and product decisions.
  • Scope and lead high-impact projects with Engineering, Product Management and Design, Data Engineering, and Research and Insights teams. Work with executive stakeholders, teach technical concepts and mentor other data scientists.

Qualifications

  • Requires 9+ years of experience in data science or related fields, including experience identifying and leading projects that affected business strategy and performance.
  • Requires expertise in selecting and applying machine learning methods, including LLMs, to business problems; SQL; another data science programming language such as Python or R; and libraries such as Pandas, NumPy and Scikit-learn.
  • Requires proficiency with visualization tools such as Streamlit, Tableau or R Shiny and libraries such as Matplotlib or Bokeh. Candidates should explain complex concepts to non-data audiences, communicate compelling insights and balance timely delivery with quality.
  • Preferred: 10+ years of experience with a postgraduate degree in a quantitative discipline such as statistics, mathematics, econometrics or computer science.

Working arrangement and benefits: The posting lists Bengaluru, India. Atlassian says employees may choose to work in an office, from home or in a combination of the two, and that it can hire in countries where it has a legal entity. Benefits include health and wellbeing resources and paid volunteer days; the role may also be eligible for bonuses, commissions and equity. No pay amount is stated.

Skills for this role

Data ScienceAnalyticsStatistical AnalysisMachine LearningLarge Language ModelsSQLPythonRPandasNumPyScikit-learnStreamlitTableauR ShinyMatplotlibBokehData VisualizationExecutive CommunicationCross-functional CollaborationMentoring

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