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 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.

Nice to Haves:

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.

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.

Google is proud to be an equal opportunity and affirmative action employer.
English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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