Atlassian is looking to unlock its experimentation capabilities and create a culture of experimentation by hiring a Principal Data Scientist to join the Experimentation Data Science team.
Requirements
- Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)
- 5+ years of related industry experience in the data science and experimentation domain
- Experience building and scaling experimentation practices, statistical methods, and tools in a large scale organization
- Experience with causal inference, multi-arm bandits, reinforcement learning, synthetic data and experimentation, non-parametric methods
- Expertise in SQL, familiarity with Python, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
- Ability to communicate and explain data science and experimentation concepts to diverse audiences, craft a compelling story
- Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
Responsibilities
- Drive the experimentation practices and analyses, collaborating with business, engineering, and analytics teams, to enable trustworthy decisions at scale
- Lead the organization to develop and adopt novel ways to increase the speed of the experimentation lifecycle
- Deliver training, tools, and analyses to help teams experiment successfully
- Partner with the experimentation engineering team to help unlock Atlassian’s experimentation capabilities
- Work cross-functionally with stakeholders in GTM, growth, product, data engineering, and analytics platform teams
- Provide experimentation expertise and hands-on support for experimenting at scale
- Develop and adopt novel ways (such as sprt, stratified random sampling, etc.) to increase the speed of the experimentation lifecycle
Other
- Master or PhD in a quantitative subject (or relevant work experience)
- 5+ years of related industry experience
- Ability to communicate and explain data science and experimentation concepts to diverse audiences, craft a compelling story
- Focus on business practicality and the 80/20 rule
- Agile development mindset, appreciating the benefit of constant iteration and improvement
