Atlassian is looking for a Principal Data Scientist to join their Experimentation Data Science team to help unlock Atlassian’s experimentation capabilities and increase the velocity and value of experiments.
Requirements
- 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)
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 (sprt, stratified random sampling, etc.,) to increase the speed of the experimentation lifecycle.
- Partnering with the experimentation engineering team to help unlock Atlassian’s experimentation capabilities.
- Help teams experiment successfully by delivering training, tools, and analyses to go from idea to decision as quickly as possible.
- Providing experimentation expertise and hands-on support for experimenting at scale.
- Work cross-functionally with stakeholders in GTM, growth, product, data engineering, and analytics platform teams.
Other
- 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
- 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"
- Agile development mindset, appreciating the benefit of constant iteration and improvement
