Senior Data Scientist - Marketing Data Science

In this role, you will:

• Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work.
• Unify business requirements across multiple teams and devise scaled data solutions. Evangelize and drive adoption of the data products that you and the team develop.
• Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges.
• Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them.
• Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations.
• Partner with cross-functional teams to inform, influence, and execute strategy decisions.
• Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends.
• You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian.

• 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.

• 7+ Years of Experience in Data Science or related fields OR 5+ Years of experience in Data Science along with a post-graduate degree or equivalent in a related field.
• Experience utilizing causal inference for marketing measurement.
• Experience influencing functional leadership and above to adopt data solutions.
• An understanding of the SaaS business model and key metrics.