Principal Data Scientist - Experimentation

Atlassian • Seattle, WA

89d • $201,600 - $263,200

About The Position

Atlassian is looking for a Principal Data Scientist to join our Experimentation Data Science team. The Experimentation Data Science team partners with the experimentation engineering team to help unlock Atlassian’s experimentation capabilities. We help teams experiment successfully by delivering training, tools, and analyses to go from idea to decision as quickly as possible. This is a unique opportunity to work in a collaborative environment to create a culture of experimentation and tackle challenging and distinctive problems. 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 and hands-on support for experimenting at scale. The teams we work with are split geographically between the US and Australia. We are highly nimble, with a focus on velocity between theory and practice, and laser-focused on business impact.

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'.
• Agile development mindset, appreciating the benefit of constant iteration and improvement.

Nice To Haves

• Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space.
• Familiarity working with go-to-market (GTM), buyer experience and Growth teams (in addition to Product and Engineering).
• 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.

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.

Benefits

• Health and wellbeing resources.
• Paid volunteer days.
• Equitable, explainable, and competitive compensation programs.
• Eligibility for benefits, bonuses, commissions, and equity.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees