Causal Inference Data Scientist (Hybrid)

Google Inc.; Mountain View (CA); Hybrid; USD 178,000 - 198,000; Full time

Job summary

YouTube is hiring a Business Data Scientist to join the Go-To-Market Impact Measurement team. You will design and execute causal studies, leveraging advanced statistical models and ML to reveal business insights.

You will communicate results to executives and collaborate with cross-functional partners to influence strategic decisions. The role requires a PhD in a related field and expertise in causal inference, Bayesian statistics, and machine learning, with proficiency in SQL and either R or

Qualifications

• PhD required in Economics, Statistics, Biostatistics or related field.
• Experience in causal inference, Bayesian statistics, ML, and data analysis.
• Proficiency with SQL and at least one of R/Python.

Responsibilities

• Design and execute causal studies to address critical business questions.
• Leverage advanced statistical models to find business insights in data.
• Present insights and recommendations to executives and cross-functional partners.
• Serve as a peer reviewer and consultant for causal studies across the organization.
• Stay current with advancements in causal inference.

Skills

Causal inference

Bayesian statistics

Machine learning

SQL

R

Python

Education

PhD in Economics/Statistics/Biostatistics

Job description

YouTube is hiring a Business Data Scientist to join the Go-To-Market Impact Measurement team. You will design and execute causal studies, leveraging advanced statistical models and ML to reveal business insights.

You will communicate results to executives and collaborate with cross-functional partners to influence strategic decisions. The role requires a PhD in a related field and expertise in causal inference, Bayesian statistics, and machine learning, with proficiency in SQL and either R or