ResponsibilitiesAtlassian 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.<h2>Your future team</h2>The Experimentation Data Science team sits within the in 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 providing 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.<h2>What you’ll do</h2>As a Principle Experimentation Data Scientist, you will drive the experimentation practices and analyses, collaborating with business, engineering, and analytics teams, to enable trustworthy decisions at scale. Additionally, you will lead the organization to develop and adopt novel ways (sprt, stratified random sampling, etc.,) to increase the speed of the experimentation lifecycle.<h2>Your background</h2><h3>On the first day, well expect you to have</h3><ul><li>Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)</li><li>5+ years of related industry experience in the data science and experimentation domain</li><li>Experience building and scaling experimentation practices, statistical methods, and tools in a large scale organization</li><li>Experience with causal inference, multi-arm bandits. reinforcement learning, synthetic data and experimentation, non-parametric methods</li><li>Expertise in SQL, familiarity with Python, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)</li><li>Ability to communicate and explain data science and experimentation concepts to diverse audiences, craft a compelling story</li><li>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</li><li>Agile development mindset, appreciating the benefit of constant iteration and improvement</li></ul><h3>Its great, but not required, if you have</h3><ul><li>Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space</li><li>Familiarity working with go-to-market (GTM), buyer experience and Growth teams (in addition to Product and Engineering)</li><li>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</li></ul> CompensationAt Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidates skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $201,600 - $263,200Zone B: $181,800 - $237,350Zone C: $167,400 - $218,550 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones">go.atlassian.com/payzones</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Benefits &amp; PerksAtlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit <a href="http://go.atlassian.com/perksandbenefits">go.atlassian.com/perksandbenefits</a>.About AtlassianAt Atlassian, were motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyones perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh">go.atlassian.com/crh</a>.

Atlassian

Principal Data Scientist - Experimentation

Atlassian

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