Were seeking a highly skilled Media Measurement Data Scientist to join our clients team. As a Media Measurement Scientist you will be responsible for developing and implementing measurement frameworks to quantify the impact of media campaigns across various channels. Your expertise in data analysis statistical modeling and media metrics will help us optimize marketing strategies and improve campaign effectiveness.
Key Responsibilities:
- Develop and maintain media measurement frameworks: Design and implement methodologies to measure campaign impact including metrics such as reach frequency engagement and ROI.
- Analyze media data: Work with large datasets to analyze media performance identify trends and provide actionable insights to stakeholders.
- Statistical modeling: Develop and apply statistical models to estimate campaign effectiveness including regression time-series analysis and machine learning techniques.
- Collaborate with cross-functional teams: Work closely with media planning buying and marketing teams to inform media strategies and optimize campaign performance.
- Communicate insights effectively: Present complex data insights to non-technical stakeholders providing recommendations for media strategy optimization.
- Stay up-to-date with industry developments: Monitor industry trends new methodologies and emerging metrics to ensure our measurement frameworks remain cutting-edge.
Requirements:
- Advanced degree: Masters or Ph.D. in Statistics Mathematics Computer Science or related field.
- Media measurement experience: Proven experience in media measurement marketing analytics or a related field.
- Programming Language : Python
- Statistical modeling expertise: Strong knowledge of statistical modeling techniques including regression time-series analysis and machine learning.
- Communication skills: Excellent communication and presentation skills with the ability to distill complex insights for non-technical audiences.
- Collaboration skills: Strong team player with experience working with cross-functional teams.