Search Ads Research Data Scientist

Google•Mountain View, CA

1d•$147,000 - $210,000

About The Position

As a Data Scientist, you will evaluate and improve Google Search Ads products. You will collaborate with a multidisciplinary team of engineers and analysts on a wide range of problems. The role brings scientific excellence and statistical methods to Search Ads product creation, development, and improvement, with an appreciation for end-user behavior.

Requirements

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
At least 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis; alternatively, a PhD degree.
Experience in statistical inference.
Experience in mathematical modeling.
Experience in applied mathematics.
Experience in analysis insight.

Nice To Haves

5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis; alternatively, a PhD degree.

Responsibilities

Collaborate with stakeholders across projects and teams to identify and clarify business or product questions, and provide feedback to translate them into tractable analyses, evaluation metrics, or mathematical models.
Use custom data infrastructure or existing data models as appropriate, applying specialized knowledge to design and evaluate models that mathematically express and solve defined problems with limited precedent.
Gather information about the questions to answer, business goals, priorities, organizational context, and existing and upcoming data infrastructure.
Own gathering, extracting, and compiling data across sources using relevant tools such as SQL, R, and Python; format, restructure, or validate data for quality and review datasets to ensure they are ready for analysis.
Research and develop analysis, forecasting, and optimization methods to improve the quality of Google's user-facing products.