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Atlassian

Senior Data Scientist, Experimentation

Reposted 7 Days Ago
In-Office or Remote
Hiring Remotely in Seattle, WA
146K-229K Annually
Senior level
In-Office or Remote
Hiring Remotely in Seattle, WA
146K-229K Annually
Senior level
As a Senior Data Scientist, you will drive experimentation practices, collaborate with teams to enable trustworthy decisions, and implement statistical methods.
The summary above was generated by AI
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.
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 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. The teams we work with are split geographically across 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 Senior Experimentation Data Scientist, you will help drive the experimentation practices and analyses, collaborating with business, engineering, and analytics teams, to enable trustworthy decisions at scale. You will 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.
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)
  • 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

Desirable Qualifications
  • 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

Compensation
At 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 candidate's 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: $175,500 - $229,125
Zone B: $158,400 - $206,800
Zone C: $145,800 - $190,350
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones 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.
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

AWS
Databricks
Python
Spark
SQL

Atlassian Boston, Massachusetts, USA Office

55 Causeway St, Boston, Massachusetts , United States, 02114

Atlassian Boston, Massachusetts, USA Office

Atlassian believes the future of work is distributed and offers our people the flexibility to help them do what’s important to them. And with few exceptions, we hire people anywhere we have a legal entity as long as they have eligible work rights and sufficient team time zone overlap.

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