Google is looking to design the next generation platform for Ads Planning experimentation, utilizing randomized controlled trials and statistics to evaluate and guide future Ads Planning initiatives. The goal is to become an insight-driven organization, fueling business and product decision-making with data and metrics at scale.
Requirements
- performing statistical analysis
- coding (e.g., Python, R, SQL)
Responsibilities
- Lead the data science design of the next generation platform for Ads Planning experimentation, utilizing randomized controlled trials and statistics to evaluate and guide future Ads Planning initiatives.
- Design and analyze experiments, including randomized controlled trials, to measure and guide the impact of critical Ads Planning initiatives.
- Define key performance indicators and their associated value for both advertisers and Google across various Ads Planning initiatives.
- Formulate metrics that capture the impact of Ads Planning tools on advertiser spend, and reach.
- Develop methodologies for conducting impact studies for agency and third-party tools.
- Collaborate with cross-functional teams to ensure the feasibility of measurement strategies.
- Designing scalable solutions for Ads Planning randomized controlled trials.
Other
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
- 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree).
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
