Staff Data Scientist, Ads Insights and Measurement

Google

full-time

Posted: October 6, 2025

Number of Vacancies: 1

Job Description

Google | Bengaluru, Karnataka, India. Minimum qualifications: Master's degree in Statistics or Economics, a related field, or equivalent practical experience. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods. Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference. At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.

Locations

  • Bengaluru, Karnataka, India

Salary

Salary not disclosed

Skills Required

  • Pythonadvanced (Programming)
  • Radvanced (Programming)
  • SQLadvanced (Database)
  • Statistical Analysisadvanced (Analytics)
  • Linear Modelsadvanced (Statistics)
  • Multivariate Analysisadvanced (Statistics)
  • Causal Inferenceadvanced (Statistics)
  • Sampling Methodsadvanced (Statistics)
  • MATLABintermediate (Software)
  • Pandasadvanced (Library)

Required Qualifications

  • Master's degree (degree in Statistics or Economics)
  • Work experience using analytics to solve product or business problems (experience, 8 years)
  • Work experience with PhD (experience, 6 years)
  • Experience with statistical data analysis (experience)
  • Experience with statistical software and database languages (experience)

Responsibilities

  • Interact cross-functionally with a variety of leaders and teams, and work with Engineers and Product Managers to identify opportunities for design and to assess improvements for advertising measurement products.
  • Collaborate with teams to define questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, bidding etc., and develop and implement quantitative methods to answer those questions.
  • Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and delivery of results to business partners and executives.
  • Build and prototype analysis pipelines iteratively to provide insights at scale. Develop knowledge of Google data structures, metrics, advocating for changes where needed for product development.

Benefits

  • Equal Opportunity: Google is proud to be an equal opportunity and affirmative action employer committed to building a workforce that is representative of the users we serve.

Documents

Application Instructions

Apply through the Google Careers portal.

Tags & Categories

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