Senior Data Scientist — Large-Scale Analytics & Impact

Google; Mountain View (CA); On-site; USD 126,000 - 210,000; Full time

Job summary

Google is seeking a Data Scientist to evaluate and improve products by applying statistical methods and analytics. You will work with engineers and analysts on scalable problems, designing models and metrics to drive product decisions.

Responsibilities include translating business questions into analytic plans, leveraging SQL, Python, and R to gather and validate data, and communicating insights to cross-functional teams. Individual pay factors and equity are part of total compensation.

Qualifications

• Master's degree in a quantitative field (Statistics/Data Science/ Maths/ Economics/ OR/ Engineering).
• 3+ years of analytics with product/business impact; coding in Python/R/SQL; querying databases or statistical analysis.
• PhD degree is also acceptable in lieu of 3+ years experience.

Responsibilities

• Collaborate with stakeholders to clarify business questions and translate them into tractable analyses.
• Design and evaluate models using existing data infrastructure and tools; ensure robust validation.
• Gather goals, priorities, and data context; assess data quality and relevance for analysis.
• Extract, clean, and assemble data from multiple sources using SQL, Python, or R.

Skills

Analytics

Python

R

SQL

Statistics

Data querying

Education

Master's degree in quantitative field

PhD degree

Tools

SQL

Job description

Google is seeking a Data Scientist to evaluate and improve products by applying statistical methods and analytics. You will work with engineers and analysts on scalable problems, designing models and metrics to drive product decisions.

Responsibilities include translating business questions into analytic plans, leveraging SQL, Python, and R to gather and validate data, and communicating insights to cross-functional teams. Individual pay factors and equity are part of total compensation.