Data Analysis: data gathering, analysis, and effective communication of presentations and recommendations to multiple levels of stakeholders. You’ll be responsible for creating custom visual displays of quantitative information through writing queries, and scripts, and developing automated reports and dashboards to provide insights at scale; Data validation: verifying the data we obtain from ad exchanges and mobile-app tracking solutions to confirm our campaign models are trained with the most accurate engagement data; Campaign optimization: engaging in the life cycle of campaigns, from monitoring daily performance to partnering with sales teams on bespoke analysis for clients; Business Collaboration: collaborate with key stakeholders to help Moloco focus on decisions that improve our products and servi
Requirements:
Master's degree or equivalent practical experience; 5+ years of experience working with statistical packages (e.g., Python, SQL); Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analyses such as regression or time-series analysis; Programming: experience in Python and SQL is required
Text:
Senior/Staff Data Scientist - Growth Analytics Data Analysis: data gathering, analysis, and effective communication of presentations and recommendations to multiple levels of stakeholders. You’ll be responsible for creating custom visual displays of quantitative information through writing queries, and scripts, and developing automated reports and dashboards to provide insights at scale; Data validation: verifying the data we obtain from ad exchanges and mobile-app tracking solutions to confirm our campaign models are trained with the most accurate engagement data; Campaign optimization: engaging in the life cycle of campaigns, from monitoring daily performance to partnering with sales teams on bespoke analysis for clients; Business Collaboration: collaborate with key stakeholders to help Moloco focus on decisions that improve our products and servi Master's degree or equivalent practical experience; 5+ years of experience working with statistical packages (e.g., Python, SQL); Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analyses such as regression or time-series analysis; Programming: experience in Python and SQL is required
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