Atlassian seeks a Manager to lead a high-performing team of Data Scientists dedicated to driving actionable insights across our Customer Support Products and Ecosystems. The team drives experimentation, advanced statistical analyses and machine learning modeling to ensure world-class customer experiences with our customer-facing support products while enabling scalable and durable support tools and processes. The Manager and the team are 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 be a seasoned people manager with a background in applied statistics, economics or a related quantitative field. We are looking for someone with fluency in customer-facing products, experience with customer support domains, comfort with ambiguity and experience working with senior leaders and cross functional teams. You are a self-starter, strategic problem solver, and a humble leader 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: $175,100 - $233,400
Zone B: $157,600 - $210,100
Zone C: $145,300 - $193,800
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.
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: $157,600 - $210,100
Zone C: $145,300 - $193,800
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.
Lead a team of 5+ data scientists focused on deriving actionable insights from our customer support products and ecosystems
Be a people manager with experience in data science, analytics, applied statistics, or a related quantitative field
Partner with senior product, engineering and operational leadership to identify business opportunities and drive product and program delivery
Lead team strategy and operations to drive actionable analytics insights, build data science solutions and measure the impact
Design and manage roadmaps, recurring rituals, operational plans and partner engagement models
Advocate for the team's work and elevate the quality of our business-facing storytelling
5+ years of experience in data analytics and data science field
2+ years of experience as a people manager in data science
2+ years in driving scalable A/B tests in for product development
Success at building a culture of data-informed decision-making, fast learning and new ideas
Strong technical background in statistics, experimentation, measurement, data modeling, SQL, R/Python and/or data instrumentation
Experience applying advanced analytics knowledge to the real world
Roadmap planning, sprint planning and project management skills