Atlassian seeks a Senior Data Scientist to join a high-performing Data Science team dedicated to driving actionable insights across our Customer Support Products and Ecosystems. The team enables world-class customer experiences through our cloud operations products by delivering experiments (A/B testing), advanced statistical analyses and machine learning models. This Senior Data Scientist is also responsible for driving new, innovative solutions that elevate analytics capabilities and proposing data-driven process improvements that empower and enable Support Engineers in the customer support organization.

The ideal candidate will have a proven background in applied statistics, economics or a related quantitative field. We are looking for someone with fluency in operations products, experience with customer support domains, comfort with ambiguity and a passion for working with cross-functional teams. You are a self-starter and strategic problem solver with demonstrated success in using data science to drive understanding, progression, and decision making for large organizations.

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: $152,200 - $202,900

Zone B: $137,000 - $182,600

Zone C: $126,300 - $168,400

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.

• 5+ Years of Experience in Data Science or related fields

• Proficiency in SQL AND another data manipulation programming language (e.g Python, R)

• Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)

• Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems

• Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills

• Ability to craft analysis into well-written and persuasive content