Data Scientist

About this role

Our team develops new techniques and processes to better meet the needs of our Audio and TV clients to measure audiences, working at the intersection of Data Science, Technology, Product Delivery and Operations. In this role, you will be working on the forecasting, modeling and code which drive the key production processes of the PPM Wearables audience measurement panels. You will develop data pipelines, execute analyses and summarize results, collaborating with a variety of stakeholders to provide clear data-driven solutions and recommendations.

Responsibilities Research, design, develop, implement and test econometric, statistical, optimization and machine learning models. Gain a deep understanding of the PPM (Portable People Meter) sampling methodology and become an expert in Audience Measurement, with a focus on panel management strategies. Query data from large relational databases for various analyses and/or requests. Utilize tools such as Python, Tableau, R etc.

to perform complex data analysis and visualizations. Oversee, maintain and evolve multiple data algorithms for managing the PPM Sample Methodology in a time-critical production environment. Maintain and update documented departmental procedures, checklists and metrics comprehensively and on a timely basis. Serve on various interdepartmental teams seeking to propose, evaluate and implement new initiatives, and work on other critical projects.

This includes support with writing requirements, developing new software and testing. Respond to various internal and external client requests, providing data driven solutions to the problems presented. Incorporate quality checks to proactively detect and correct for errors throughout production processing and analysis. Ensure product quality, stability, and scalability by facilitating code reviews and driving best practices like modular code, unit tests, and incorporating CI/CD workflows.

Bachelor’s Degree or higher in Mathematics, Statistics, Computer Science, Data Science, Data Engineering or a related field. 3+ years of professional work experience in Statistics, Data Science, and/or related disciplines, with focus on delivering analytical software solutions in a production environment. 3+ years of experience with the following: Manipulating, analyzing and interpreting complex data sources to tell a story from data through analyses Programming in Python, PySpark and SQL for data pipeline development used to support analytics Data visualization with Tableau and/or similar tools Experience working in cloud-based environments such as AWS DevOps tools, code management and CI/CD workflows using Gitlab or similar tools Project management including ability to prioritize multiple assignments Well-organized, clear communication, and an ability to handle multiple competing priorities in a fast-paced environment.