Data Scientist
Responsibilities
• Deliver data driven insights for the business to leverage as a strategic business asset and driver of incremental revenue opportunities
• Measurement of KPIs around viewer satisfaction, relationships, loyalty, and advocacy
• Measure and quantify fan journeys and map against experiences & touch points
• Conduct exploratory data mining and analysis to understand customer engagement and retention and develop tools supporting the deployment and usage to identify trends and insights in audience data to improve engagement
• Continuously drive toward reporting improvement and efficiency by simplifying and automating where possible, eliminating redundancy across the organization, refining metrics, and building new reports (developing framework and identifying data sources) as needed to support decision-making
• Propose and leverage new sources of data for acquisition, from both internal consumer touch points and external third party data partnerships
• Ability to develop effective relationships with business partners and peers– including marketing, ad sales, digital and programming teams – to understand core business issues and to communicate actionable, impactful insights
• Assure quality and accuracy of deliverables through thorough interaction with end users to understand and refine requirements and adherence to governance standards and practices
Required Qualifications
• Degree in Statistics, Econometrics, Mathematics, Operations Research, Computer Science, or equivalent/related degree
• 2+ years of experience working in role focused on consumer analytics, measurement, quantitative research, or related field
• 2+ years of experience with complex, large-scale relational databases, statistical programs and other tools (SQL, SAS, R, Python, etc.) with an aptitude to learn other technical applications quickly to compile and interpret quantitative data. Proven track record of extracting accurate conclusions and identifying trends from quantitative information.
• Ability to visualize and communicate complex quantitative analysis in a clear, precise, and actionable manner
• Proficient knowledge of reporting and visualization
• Passion for empirical research, experimentation, and answering hard questions with data
• Experience solving analytical problems using a combination of scientific approaches from the fields of mathematics, statistics, and operation research
Desired Qualifications
• 2+ years of experience working in marketing, digital experiences, or other consumer-focused roles
• Experience working with marketing and response data from various media channels, including television, social media, online video, search, email, mobile, and SMS
• Experience working with digital and mobile environment data, including online behavior tracking, video players, apps, cookies, and device IDs


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