Principal Technical Data Scientist

Working at Atlassian

Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or from an office (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Your future team

We're looking for a Data leader with business instincts and analytics mastery that has led projects improving data science efficiency. You are someone that is passionate about applying these skills to increase data quality, reduce the need for data scientists to perform data engineering tasks and love working across the organization to create the proper data layer to increase data science productivity.

You will be reporting to our Head of Experimentation.

What you'll do

• Collaborate with the Business Intelligence team to define and achieve standard segment and metric definitions and governance.
• Contribute into overall Data Science team OKRs.
• Partner with the data engineering and platform teams to Identify and support a short, medium and long-term portfolio of projects that improves data assets used across data science.
• Lead, coach, and build solutions from within a center of excellence.
• Envision, scope, and lead projects by collaborating with partners, software and data engineering leaders, and data scientists.
• Guide demo sessions and education roll out for new data products and features to ensure adoption and usage.
• Oversee business case development, data requirement gathering (including metrics and definitions), establishing acceptance criteria, QAing, and testing for new transformational data products from start to finish to ensure everything is implemented and validated.
• Guide the creation of tools that allow a centralized data framework that improves the efficiency, quality and capabilities of all data analysts and scientists.
• Work across marketing and product to develop monitoring and action plans across the data quality lifecycle (instrumentation → transformation → data/metrics/segments)
• Draw on your expertise in understanding software development lifecycle and developer productivity to think about what are data and insights features that we should ship to our internal data science customers to influence the way they work.
• Be part of building an outstanding analytics culture at Atlassian. Leading by example, through education and creation of self-service tools, to make a lasting change in how data is used to make decisions.

Your background

• Expertise in data modeling, (e.g. SQL, Python), knowledge of cloud data environments (e.g. AWS), and experience with DBT, data ETLs, and UAT processes.
• Project management and prioritization experience; preferably with Data Engineering, Product Management, and Software Engineering teams.
• An Agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing "having something now" vs. "perfection in the future".
• Experience in at least one visualization tool (e.g. Tableau, R-Shiny, dash, Microstrategy)
• Experience working with software and data engineering teams, an understanding of the software development. lifecycle, what drives software team to succeed and exposure to typical software engineering tools (e.g. Jira, SCM, CI/CD systems).
• A very high bar for output quality; with experience coaching teams to balance thoughtfulness, perfection and speed.
• Comfort explaining complex concepts to diverse audiences (such as Product Managers, Designers, Engineers), and creating compelling stories.
• Experience applying your analytics skills to identify and lead projects that have had impact on strategic and product roadmap decisions
• 10+ years of experience with a combination of data science, analytics and data engineering experience.

Compensation

At Atlassian, we tie our base pay ranges to role and level. In the United States, that means your base pay ranges will fall into one of three geographic pay zones depending on your location. Our current base pay ranges for new hires in each zone are:

Zone A: $186,000 - $285,000

Zone B: $167,000 - $257,000

Zone C: $154,000 - $237,000

Within each range, base pay is determined based on your skills and experience. This role may also be eligible for benefits, bonuses, commissions, and/or 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

To support you at work and play, our perks and benefits include ample time off, an annual education budget, paid volunteer days, and so much more.

About Atlassian

The world’s best teams work better together with Atlassian. From medicine and space travel, to disaster response and pizza deliveries, Atlassian software products help teams all over the planet. At Atlassian, we're motivated by a common goal: to unleash the potential of every team .

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 learn more about our culture and hiring process, explore our Candidate Resource Hub .