Requirements

Expected technologies

Python

R

SQL

Our requirements

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field or equivalent practical experience.
• 8 years of experience in using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree.
• Experience with methods of statistical data analysis (e.g., linear models, hypothesis testing, multi-level models, Bayesian methods, etc.).
• Experience with A/B testing or other experimental design methodologies.

Optional

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• Experience in Mathematical programming and modeling and statistics.
• Experience with Bayesian Statistics.

Your responsibilities

• Design and analyze experiments, including randomized controlled trials, to measure and guide the impact of Ads Planning initiatives.
• Define key performance indicators and their associated value for advertisers and Google across various Ads Planning initiatives.
• Formulate metrics that capture the impact of Ads Planning tools on advertiser spend, reach, Google business growth, and agreement value.
• Develop methodologies for conducting impact studies for agencies and third-party tools.
• Collaborate with cross-functional teams to ensure the accuracy and feasibility of measurement strategies.