Senior Data Scientist, Experimentation, Atlassian

Atlassian

Location:
United States, Seattle

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

145300.00 - 233400.00 USD / Year

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Job Description:

The Experimentation Data Science team sits within the Atlassian Corporate Engineering Organization. The team is tasked with pursuing opportunities to increase the velocity and value of experiments in Atlassian. We work cross-functionally with stakeholders in GTM, growth, product, data engineering, and analytics platform teams. We provide experimentation expertise for experimenting at scale and help teams experiment successfully by delivering training, tools, and analyses to go from idea to decision as quickly as possible.

Job Responsibility:

Help drive the experimentation practices and analyses, collaborating with business, engineering, and analytics teams, to enable trustworthy decisions at scale
Help Atlassians use novel ways (sprt, stratified random sampling, etc.) to increase the speed of the experimentation lifecycle
Develop ways to ensure that experiment decision rigor is the highest standard possible

Requirements:

Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)
3+ 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 multiple experiment statistical methods (causal inference, multi-arm bandits, reinforcement learning, synthetic data and experimentation, non-parametric methods, etc.)
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'
Agile development mindset, appreciating the benefit of constant iteration and improvement

Nice to have:

Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
Familiarity working with Engineering, Product and Growth teams
Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions

What we offer:

Health coverage
Paid volunteer days
Wellness resources

Additional Information:

Job Posted:
May 22, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Senior Data Scientist, Experimentation