Ads Insights Data Scientist - Impactful Analytics & Privacy

Google LLC; Mountain View (CA); Sur place; USD 147 000 - 210 000; Plein temps

Résumé du poste

Google LLC in Mountain View, CA is seeking a Share Research Data Scientist, Ads Insights to advance analytics for advertising measurement and drive business impact across large-scale ad systems.

You will develop new ideas and methods, deploy causal inference and machine learning approaches, and collaborate with engineering, product, and customer teams to answer strategic questions. In-person interviews are typically required as part of the hiring process.

Qualifications

• Master's degree in a quantitative field.
• 3 years of work experience using analytics to solve product or business problems, coding, querying databases or statistical analysis, or a PhD.

Responsabilités

• Develop new ideas and methods that drive business generation.
• Collaborate with teams to define relevant questions about advertising effectiveness and develop quantitative methods to answer them.
• Find ways to combine large-scale experimentation, statistical-econometric, machine learning, and social-science methods to answer business questions at scale.
• Use causal inference methods to design experiments and establish causality and attribution.
• Build and prototype analysis pipelines to provide insights at scale and understand Google data structures and metrics.

Connaissances

Python

R

SQL

Formation

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field

Description du poste

Google LLC in Mountain View, CA is seeking a Share Research Data Scientist, Ads Insights to advance analytics for advertising measurement and drive business impact across large-scale ad systems.

You will develop new ideas and methods, deploy causal inference and machine learning approaches, and collaborate with engineering, product, and customer teams to answer strategic questions. In-person interviews are typically required as part of the hiring process.