Data Scientist

Responsibilities:

• Learn and become an expert in Audience Measurement, with a focus on streaming meter technology used for data collection and crediting.
• Contribute to analysis plan design, develop underlying data pipelines, execute analyses and summarize results.
• Identify, clean, and summarize data, potentially from disparate and complex data sources, to facilitate high quality analyses.
• Create simple, meaningful visualizations to help support data analysis and stakeholder communications.
• Develop and share efficient code used for analyses.
• Incorporate quality checks to proactively detect and correct for errors throughout analysis.
• Provide clear data-driven recommendations based on research findings.

Key Skills:

• Programming. 
• Statistics and probability. 
• Data wrangling and database management. 
• Machine learning and deep learning. 
• Data visualization. 
• Cloud computing. 
• Interpersonal skills.

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