Influence strategy & important decisions around Atlassian Community by understanding the role that Community plays in customer experience and the value it has to the Atlassian business; Define, set and report on department level KRs to the GTM Executive team; Build mental models and measurement frameworks that identify and move users from initial engagement to potential champions & brand advocates; Envision, scope, and lead high impact projects by collaborating with Community, Research, Product, Engineering and Customer Success; Promote a measurement culture and understand the impact of our internal strategy and campaigns, by designing and analyzing experiments or running causal analysis to understand impact
Requirements:
Experience applying your Data Science skills to identify and lead projects which have had impact on business strategy and performance; 8+ years of experience in Data Science or related fields. (Preferred - 10+ years experience with a post-graduate degree in a quantitative discipline like Statistics, Mathematics, Econometrics, Computer science); Expertise in applying a broad variety of statistical/DS concepts (e.g Regression, Trees, Clustering, A/B testing) to business problems and a strong sense of when to apply them to the problem at hand; Expertise in SQL and a high level of proficiency in another data science programming language (e.g Python, R) with expertise in libraries like Pandas, Numpy, Scikit-learn etc
Text:
Principal Data Scientist, Community Influence strategy & important decisions around Atlassian Community by understanding the role that Community plays in customer experience and the value it has to the Atlassian business; Define, set and report on department level KRs to the GTM Executive team; Build mental models and measurement frameworks that identify and move users from initial engagement to potential champions & brand advocates; Envision, scope, and lead high impact projects by collaborating with Community, Research, Product, Engineering and Customer Success; Promote a measurement culture and understand the impact of our internal strategy and campaigns, by designing and analyzing experiments or running causal analysis to understand impact Experience applying your Data Science skills to identify and lead projects which have had impact on business strategy and performance; 8+ years of experience in Data Science or related fields. (Preferred - 10+ years experience with a post-graduate degree in a quantitative discipline like Statistics, Mathematics, Econometrics, Computer science); Expertise in applying a broad variety of statistical/DS concepts (e.g Regression, Trees, Clustering, A/B testing) to business problems and a strong sense of when to apply them to the problem at hand; Expertise in SQL and a high level of proficiency in another data science programming language (e.g Python, R) with expertise in libraries like Pandas, Numpy, Scikit-learn etc
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