As a Senior Data Scientist, you will drive experimentation practices, collaborate with teams to enable trustworthy decisions, and implement statistical methods.
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
Desirable Qualifications
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: $175,100 - $233,400
Zone B: $157,500 - $210,100
Zone C: $145,300 - $193,700
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 .
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: $175,100 - $233,400
Zone B: $157,500 - $210,100
Zone C: $145,300 - $193,700
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
Similar Jobs at Atlassian
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The Principal Data Scientist will analyze business problems, develop strategies using statistical methods, collaborate with teams, and communicate insights to influence product development and decisions.
Top Skills:
LookerMicrostrategyPythonRR-ShinySap Business ObjectsSQLTableau
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The Senior Program Manager will drive strategic program delivery, focusing on early talent development and data analytics for engineering.
Top Skills:
Data Analytics
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The role involves leading the technical vision for Atlassian's API platform, including governance and innovations in API lifecycle management, mentoring engineers, and driving AI-native feature development.
Top Skills:
Ai IntegrationApi DesignAWSBackend DevelopmentCloud Platforms
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus