Senior Economist, Economic Impact Estimation

Google Inc.; Washington (District of Columbia); On-site; USD 163,000 - 236,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off

Sick leave

Maternity leave

Baby bonding leave

Holidays

Job summary

Google’s Economics Team seeks an economist to design and execute economic impact studies using large-scale data to quantify Google’s contributions to global and regional economies. You will apply advanced econometrics and statistical modeling, work with big datasets, and translate findings into reports for executives, policymakers, and the public.

The role also involves monitoring the macroeconomy and AI impacts.

Qualifications

• Master's degree in Economics, a related field (e.g., Statistics, Data Science, Public Policy, Business, Finance), or equivalent practical experience.
• 4 years of experience undertaking empirical analysis to solve product, business, or policy problems, with a focus on econometric or statistical modeling.
• Experience in big data analysis, including statistical/econometric software (e.g., R, Python, Stata) and data query languages (e.g., SQL) to manage datasets.

Responsibilities

• Design and implement economic impact studies, employing economic methodologies to accurately measure Google’s economic impact across regional and global economies.
• Conduct quantitative analyses using advanced econometrics techniques and statistical models. This includes using big data analytical tools and platforms to process, model and measure the economic impact of Google’s activities, programs and products across various sectors, including the economic impact of AI.
• Apply high-level proficiency in data manipulation, cleaning, and transformation of large, unstructured and complex datasets. Ensure data quality and integrity throughout the modeling process.
• Contribute to our monitoring of the wider macroeconomic environment and deliver incisive analysis on key topical issues.
• Translate highly technical findings into compelling, clear, and impactful reports, publications and presentations for audiences, including executives, policymakers, external economists and the general public.

Skills

Empirical analysis

Econometric modeling

Big data analysis

Causal inference

Education

Master's degree in Economics or related field

PhD in Economics or related field (preferred)

Tools

R

Python

Stata

SQL

Job description

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Reston, VA, USA; London, UK; New York, NY, USA; San Francisco, CA, USA; Washington D.C., DC, USA.

• Master's degree in Economics, a related field (e.g., Statistics, Data Science, Public Policy, Business, Finance), or equivalent practical experience.
• 4 years of experience undertaking empirical analysis to solve product, business, or policy problems, with a focus on econometric or statistical modeling.
• Experience in big data analysis, including statistical/econometric software (e.g., R, Python, Stata) and data query languages (e.g., SQL) to manage datasets.

Preferred qualifications:

• PhD in Economics, a related field (e.g., Statistics, Data Science, Public Policy, Business Finance), or equivalent practical experience.
• 6 years of experience undertaking empirical analysis including investigating questions of economic impact measurement, ideally within the context of big technology companies or digital platforms.
• Experience in causal inference methodologies and quasi-experimental designs.
• Experience with AI impact analysis.
• Experience in time series forecasting and macroeconomics.

About the job

The Google Economics Team provides actionable economic insights and tools to inform strategy and decision-making across Alphabet, and it engages externally on some of the most important policy questions of the moment. Within the team, our Macroeconomics and Economic Impact Reporting area decodes the macroeconomic environment in which Google operates and evaluates the economic and societal impacts of our businesses and investments globally.

In this role, you will be designing and executing economic impact studies that leverage big data to quantify and clearly communicate Google’s contributions to the macro economy. You will be instrumental in combining advanced econometrics and statistical modeling with large, real-world datasets to produce insights. You will also have the opportunity to support the team’s broader analytical work, including on macroeconomic monitoring and topical issues. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Design and implement economic impact studies, employing economic methodologies to accurately measure Google’s economic impact across regional and global economies.
• Conduct quantitative analyses using advanced econometrics techniques and statistical models. This includes using big data analytical tools and platforms to process, model and measure the economic impact of Google’s activities, programs and products across various sectors, including the economic impact of AI.
• Apply high-level proficiency in data manipulation, cleaning, and transformation of large, unstructured and complex datasets. Ensure data quality and integrity throughout the modeling process.
• Contribute to our monitoring of the wider macroeconomic environment and deliver incisive analysis on key topical issues.
• Translate highly technical findings into compelling, clear, and impactful reports, publications and presentations for audiences, including executives, policymakers, external economists and the general public.

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 .

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.