Leverage eclectic quantitative repertoire, spanning operations research, game theory, statistics and machine learning skills, to build industry-leading optimization solutions that will enable advertisers to divert a greater share of marketing budgets to Youtube, where user engagement outpaces all other media channels.
Requirements
- coding (e.g., Python, R, SQL)
- querying databases
- statistical analysis
- Online Marketplace Design
- Adtech
- Causal Inference
Responsibilities
- Use custom data infrastructure or existing data models as appropriate, using specialized knowledge.
- Design and evaluate models to mathematically express and solve defined problems with limited precedent.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).
- Separately format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
- aiming relevance (which users watching which videos are likely to appreciate a specific brand ad)
- creative recommendation (how should advertisers customize their messaging to impress audiences)
- bidding optimization (how to spend advertiser’s budget on Youtube marketplace to maximize return on investment (ROI))
Other
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 3 years of experience using analytics to solve product or business problems
- 3 years of work experience with Online Marketplace Design, Adtech, and Causal Inference.
- Master's or PhD degree in a quantitative field such as Engineering, Computer Science, Mathematics, Statistics, Economics or Business Science.
- 5 years of work experience using analytics to solve product or business problems
