Data Research Scientist, Ads Insight and Measurement at Google

Join the forefront of innovation as a Data Research Scientist at Google. Immerse yourself in massive datasets and extract insights that influence global business and technical strategies.

Minimum Qualifications:

• Bachelor’s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or an equivalent practical experience.
• 4+ years of experience in analytics to address product or business challenges, proficiency in coding (e.g., Python, R, SQL), database querying, or performing statistical analysis.

Preferred Qualifications:

• 4+ years of experience as a Data Scientist, skilled in statistical data analysis including linear models, multivariate analysis, stochastic models, and sampling methods.
• Robust experience in articulating and translating business questions into analytical frameworks, then deriving answers using available data.
• Proficiency in causal inference methods such as split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, and matching estimators.

About the Role:

As a Quantitative Analyst at Google, your work will impact various areas of the organization. Harness the power of analytical excellence and statistical methods to mine through data, identifying opportunities for efficiency enhancements in areas ranging from advertising efficacy to network infrastructure optimization. Collaborate with Engineers, Product Managers, Sales Associates, and Marketing teams, influencing Google's products and practices based on your research and results. More than crunching numbers, you are pivotal in crafting the solution.

Responsibilities:

• Lead initiatives to develop new data-driven and privacy-preserving advertising and marketing products alongside Engineering, Product, and customer-facing teams.
• Address complex analytical problems with a structured approach; from data gathering and exploratory data analysis (EDA) to model development and result delivery.
• Build and prototype analysis pipelines to scale insights, develop deep knowledge of Google data structures and metrics, and advocate for product development changes as needed.
• Engage cross-functionally to present findings and make recommendations (e.g., cost-benefit analysis, experimental design, use of privacy-preserving methods such as differential privacy).

Ready to shape the future of Google and its users? Apply today to be part of our transformative journey as a Data Research Scientist, Ads Insight and Measurement and propel your career to new heights.