Principle Data Scientist - Experimentation

Posted 4 Days Ago
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Remote
Senior level
Cloud • Information Technology • Productivity • Security • Software
Atlassian's software powers teams in every industry to collaborate, ideate, and innovate.
The Role
As a Principal Data Scientist in the Experimentation team, you'll drive experimentation practices, enabling trustworthy decisions at scale. You will lead adopting innovative methodologies to enhance the experimentation lifecycle, collaborating across business, engineering, and analytics teams.
Summary Generated by Built In

Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
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.
Your future team
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.
What you'll do
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.
Your background
On the first day, we'll expect you to have

  • 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


It's great, but not required, if you have

  • 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


Our perks & benefits
Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.
About Atlassian
At Atlassian, we're 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 everyone's 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 go.atlassian.com/crh .

Top Skills

Python
SQL

What the Team is Saying

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The Company
Austin, TX
9,500 Employees
Remote Workplace
Year Founded: 2002

What We Do

Atlassian builds software that empowers everyone from small startups to government and education to the who’s who of tech. We build tools like Jira, Confluence, Bitbucket, Trello, and OpsGenie to help teams across the world become more nimble, creative, and aligned — collaboration continues to drive the heart of every product we dream up.

Why Work With Us

At Atlassian, we believe we can accomplish so much more together than apart — which is why everything from our tooling — to our distributed workforce — to how our teams are structured is rooted in collaboration. Come join us and help unleash the potential of every team.

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