Job summary
Job post source
This job is directly from Atlassian
Job overview
The Sales Data Scientist role at Atlassian focuses on leveraging data science and analytics to drive sales strategy, AI adoption, and growth across collections, impacting business decisions and sales effectiveness.
Responsibilities and impact
The role involves building advanced sales and GTM analytics models, analyzing product adoption, collaborating with sales and marketing teams, generating insights using SQL, Python, and visualization tools, and partnering cross-functionally to shape initiatives and monitor KPIs.
Compensation and benefits
The position offers a base pay range depending on geographic zones from $124,200 to $195,050, with eligibility for benefits, bonuses, commissions, and equity, along with comprehensive health and wellbeing perks and paid volunteer days.
Experience and skills
Candidates should have 4-7 years in data science or GTM analytics in SaaS or tech, proficiency in Databricks, SQL, Python, Tableau/Looker, experience with sales tech tools like Salesforce, and strong communication skills; AI product adoption and sales analytics experience are preferred.
Career development
Atlassian supports growth through exposure to AI and sales transformation projects, cross-functional collaboration, and a culture of continuous learning and inclusion.
Work environment and culture
Atlassian offers a flexible, distributed-first work environment allowing remote or office work, emphasizing diversity, inclusion, and support for personal and family priorities.
Company information
Atlassian is a global software company focused on team collaboration tools, committed to diversity and inclusion, with a strong culture of innovation and support for employees.
Team overview
The Sales Data Scientist will join the Sales & Success Strategy team, working closely with Sales Strategy, Product, and Customer Success teams in a collaborative environment.
Job location and travel
The role is remote-friendly with hiring possible in any country where Atlassian has a legal entity, supporting virtual interviews and onboarding.
Unique job features
This role uniquely blends advanced data science with sales strategy, leveraging platforms like Databricks, Gainsight, and Salesforce to drive AI adoption and GTM growth in a PLG-driven SaaS company.
Company overview
Atlassian is an Australian enterprise software company that develops products for software developers, project managers, and content management. They generate revenue primarily through the sale of software licenses, subscriptions, and maintenance services for their popular tools like Jira, Confluence, and Trello. Founded in 2002 by Mike Cannon-Brookes and Scott Farquhar, Atlassian has grown significantly and went public in 2015. The company is known for its strong emphasis on team collaboration and continuous innovation in the software development space.
How to land this job
Tailor your resume to emphasize your expertise in advanced GTM analytics, modeling techniques like propensity models and cohort analysis, and your proficiency with Databricks, SQL, and Python as these are central to the Sales Data Scientist role at Atlassian.
Highlight your experience in cross-functional collaboration with Sales, Product, and Customer Success teams, showcasing your ability to translate complex data into actionable business insights and storytelling.
Apply through multiple platforms including Atlassian’s official careers page and LinkedIn to maximize your visibility and chances of landing the role.
Connect with current Atlassian employees in the Sales & Success Strategy division on LinkedIn; start conversations by referencing recent Atlassian AI or sales transformation initiatives or asking about their experience working with platforms like Gainsight and Salesforce.
Optimize your resume for ATS by incorporating keywords from the job description such as 'propensity modeling,' 'Databricks,' 'Salesforce,' 'Gainsight,' 'Python,' 'Tableau,' and 'sales data analytics' to ensure it passes initial automated screenings.
Use Jennie Johnson’s Power Apply feature to automate tailoring your resume, identify the best application channels, and find key LinkedIn connections to network with, allowing you to focus your energy on interview preparation and strategic networking.
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