Data Scientist, Ads Insights — Causal ML & Privacy

Socket.dev; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google is seeking a Data Scientist to join Ads Insights and Measurement to advance the science behind advertising products across Search, Display, Apps, TV and YouTube. You will collaborate with engineers, analysts and product managers to translate research into deployed products at scale, driving monetization while respecting privacy.

You will apply quantitative methods, statistics and causal inference to understand consumer behavior, advertising effectiveness and attribution, delivering

Qualifications

• Master's degree or PhD in statistics, data science, mathematics, physics, economics, ORs, engineering, or related quantitative field.
• 3 years of work experience using analytics to solve product or business problems, coding (Python/R/SQL) and data querying.
• Experience with deep learning, machine learning, ML architecture, data analysis or distributed computing.

Responsibilities

• Help shape data-driven and privacy-preserving advertising and marketing products in collaboration with engineering, product and customer-facing teams.
• Define questions about ad effectiveness, incrementality, privacy, user behavior, and targeting; develop and implement quantitative methods to answer them.
• Combine large-scale experimentation, econometrics, ML and social-science methods to answer business questions at scale.
• Use causal inference to design experiments, establish causality, and inform strategic decisions using data.
• Work with large, complex datasets and deliver analyses from data gathering to executive delivery.

Skills

Statistics

Machine learning

Data analysis

Experiment design

Causal inference

Education

Master's degree or PhD in a quantitative field

Tools

Python

R

SQL

Databases

ML frameworks

Job description

Google is seeking a Data Scientist to join Ads Insights and Measurement to advance the science behind advertising products across Search, Display, Apps, TV and YouTube. You will collaborate with engineers, analysts and product managers to translate research into deployed products at scale, driving monetization while respecting privacy.

You will apply quantitative methods, statistics and causal inference to understand consumer behavior, advertising effectiveness and attribution, delivering