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Google Economist Jobs (NOW HIRING)

Google

Global Solutions Senior Associate

New York, NY · On-site

Bachelor's degree in Business Administration, Marketing, Economics, Product Management or a related ... Learn more about benefits at Google . Position reports to the Google New York, NY office & may ...

Google

Global Solutions Senior Associate

Chicago, IL · On-site

Bachelor's degree in Business Administration, Marketing, Economics, Product Management or a related ... Position reports to the Google Chicago, IL office & may allow for a hybrid schedule as per Google ...

Google

Business and Marketing Data Science Manager

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Business Administration ... About the job Google Cloud accelerates every organization's ability to digitally transform its ...

Google

Staff Data Scientist, Product

Kirkland, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a ... About the job Help serve Google's worldwide user base of more than a billion people. Data ...

Google

Senior Financial Analyst

Sunnyvale, CA · On-site

$100K - $125K/yr

Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or ... Strong analytical skills and ability to adopt Google specific tools. * Strong problem-framing ...

Google

Data Scientist

San Bruno, CA · On-site

D. in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics, Operations ... Learn more about benefits at Google. Position reports to the Google San Bruno, CA office & may ...

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All JobsGoogle Economist Jobs

Google Economist information

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$46K

$82.1K

$122.5K

How much do google economist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for google economist in the United States is $82,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Google Economist?

To thrive as a Google Economist, you need advanced expertise in econometrics, data analysis, and microeconomic theory, typically demonstrated by a PhD in economics or a related quantitative field. Familiarity with programming languages such as Python or R, experience with large-scale data systems, and proficiency using statistical and machine learning tools are important technical requirements. Strong communication, teamwork, and problem-solving abilities enhance your capacity to translate complex findings into actionable business insights. These skills ensure you can conduct robust economic research, effectively influence business strategy, and drive data-driven decision-making at Google.

What types of projects or problems does a Google Economist typically work on?

Google Economists are often engaged in tackling real-world business challenges such as auction design, pricing optimization, market analysis, and user behavior modeling. They partner closely with engineering, product, and data science teams to develop economic frameworks, analyze large-scale datasets, and design experiments that inform company strategy. This collaborative environment encourages innovative solutions and offers exposure to a variety of markets and products. Over time, economists at Google can take on increased ownership of strategic projects, mentor junior team members, and pursue leadership opportunities in research or product-focused roles.

Are Google economist jobs in demand?

Google economist jobs are generally in demand due to the company's focus on data-driven decision making and economic analysis. These roles often require strong analytical skills, knowledge of economic modeling, and proficiency with data tools like SQL and Python, making them competitive but sought after in the tech industry.

How to become a Google economist?

To become a Google economist, candidates typically need a strong background in economics, data analysis, and quantitative skills, often demonstrated through a relevant master's or doctoral degree. Experience with statistical tools, programming languages like Python or R, and familiarity with economic modeling are also important, along with a solid understanding of Google's business and data environment.

What is a Google Economist?

A Google Economist applies economic theories, data analysis, and machine learning to solve complex business and policy problems at Google. They work on auction design, market design, pricing strategies, and regulatory issues, using large-scale data and experiments. Their insights help optimize Google's advertising platforms, products, and broader economic impact. The role requires strong analytical skills, expertise in econometrics, and experience in both theoretical and applied economics.

More about Google Economist jobs

What cities are hiring for Google Economist jobs?

Cities with the most Google Economist job openings:

What are the most commonly searched types of Google Economist jobs?

The most popular types of Google Economist jobs are:

What states have the most Google Economist jobs?

States with the most job openings for Google Economist jobs include:

What job categories do people searching Google Economist jobs look for?

The top searched job categories for Google Economist jobs are:

Google Economist jobs near you
Infographic showing various Google Economist job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 8% Part Time, and 5% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $82,064 per year, or $39.5 per hour.

Research Data Scientist, Magic Eye

Google

Mountain View, CA • On-site

Full-time

Posted 3 days ago

New

Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 244 rated software companies

Job description

Minimum qualifications:
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Preferred qualifications:
  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

About the job
Magic Eye's mission is to guide strategic decision making for Google's consumer products through data-informed insights, actionable user metrics, and definitions of success. The analysis team partners closely with cross-product area teams from Search, Ads, Android, YouTube, etc., and cross-functionally with teams from Engineering, Behavioral Economics, UX, Finance to bring methodology, data, and insights to Googlers and Google leads.
The analysis team is focused on cross-product user research and metric development to dig into Google's performance, including understanding Google's most important users, drivers of key trends, and layering in context from industry and the world. Key research questions include understanding the rapidly evolving GenAI landscape and user journeys across products and devices to identify cross-company strategic opportunities. This team also focuses on advanced decision making frameworks and tooling, ranging from observational, to causal inference, to experiments. We're all about scale to develop and leverage reliable, reproducible analyses for ourselves, our partners, and to drive aligned decision making across Google.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
  • Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
  • Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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