Work with cross-functional teams to iteratively design, document, implement, and test streaming-based measurement solutions.
- Play a key role in developing, documenting and presenting new methodologies to both internal stakeholders and clients.
- Gain a deep understanding of Audience Measurement products and methodologies, with a focus on streaming measurement globally.
- Design research plans, manage and analyze complex panel data including developing data pipelines, conducting quality reviews, data editing and other relevant processing steps such as weighting, and imputation
- Provide thought leadership regarding which solutions may be transferable across countries to meet differing business and client needs.
- Balance cost, quality, and schedule requirements to design solutions. Adapt as needed.
- Correspond and communicate with internal departments regarding project requirements and schedules.
Required Qualifications
- Master s Degree (preferred) in Mathematics, Statistics, Economics, Data Science, Computer Science or related field.
- 5+ years of experience with the following:
- Manipulating, analyzing and visualizing complex data sources to derive data-driven methodology recommendations
- Programming in Python and SQL for data manipulation and analysis
- Visualizing data within tools such as Tableau, Power Bi, etc
- Summarizing, documenting and presenting results and recommendations
- 7+ years of project management including ability to prioritize multiple assignments
- Excellent oral and written communication skills required for presenting to and collaborating with groups of diverse backgrounds.
- Creative aptitude and ability and desire to explore opportunities for new research innovations.
- High motivation with demonstrated capacity to work on multiple projects with set deadlines, under pressure.
- Collaborative team player with willingness and desire to work with global cross-functional teams of varying sizes.
Desired Qualifications:
- Understanding of advertising technologies in the marketplace.
- Domain expertise in audience measurement
- Experience working in cloud-based environments such as AWS
- Experience in sampling, variance estimation, bias reduction techniques, imputation, and weighting.
