ZipRecruiter

Log In

1

Google Economist Jobs (NOW HIRING)

The Economist Group

Head of Optimisation

New York, NY · On-site

$105K - $140K/yr

Own the organic download strategy for The Economist app on the Apple App Store and Google Play Store. * Visual & Metadata Testing: Run relentless A/B testing on app store icons, preview videos ...

The Economist Group

Head of Optimisation

Manhattan, NY · On-site

$105 - $140/hr

Own the organic download strategy for The Economist app on the Apple App Store and Google Play Store. * Visual & Metadata Testing: Run relentless A/B testing on app store icons, preview videos ...

Google

Public Affairs Manager, Jigsaw

New York, NY · On-site

... at Google . Responsibilities * Own the development and execution of Public Affairs strategies for Jigsaw's portfolio, at the intersection of AI and governance, health, and economic insecurity.

Google

Product Operations

New York, NY · On-site

Bachelor's degree in Business Administration, Operations Research, Project Management, Economics ... About the job Google Cloud accelerates every organization's ability to digitally transform its ...

previous pagenext page

Showing results 21-40

All JobsGoogle Economist Jobs

Google Economist information

See salary details

$46K

$82.1K

$122.5K

How much do google economist jobs pay per year?

As of Aug 9, 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 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $82,064 per year, or $39.5 per hour.

Senior Research Data Scientist, Google Display Ads

Google

Mountain View, CA • On-site

Full-time

Posted 9 days ago

Google rating

8.9

Company rating: 8.9 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

40th of 242 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.
  • 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 3 years of work experience with a PhD degree.

Preferred qualifications:
  • 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.

About the job
Google Display Ads (GDA) is a network of advertisers and publishers in which advertisers participate through auctions to win impressions (showing their ad to a user). Each advertiser has a business goal to achieve. That goal could be getting most conversions given their budget, most clicks given a limit on cost-per-click, or many other more advanced settings. Our larger team is responsible for the backend systems that power all these optimizations.
Specifically for our team, we work on GDA Ads retrieval, where the core objective is to efficiently find the ad candidate that can deliver the highest value for a given query, a difficult task since Google has access to millions of ads. We need to build an efficient system to score, rank and select candidates at large scale, and send them to the final auction to get more accurate bidding and prediction.
We provide a framework that dynamically controls the trade-off between revenue and resource usage by automatically adjusting serving parameters on a per-query basis. Our goal is to maximize advertiser value (revenue) subject to constraints on serving resources and latency. You will be working on a system that directly impacts the efficiency and profitability of a large-scale advertising platform.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (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.

What Google employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply