Senior Economist, Economic Impact Estimation

On-site in London·Added 1 month ago

Google

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Overview

Requirements

Work on-site in London
No relocation package mentioned.
Have 4+ years of experience
Senior-level role.

Skills

Nice to have

Causal Inference

Requirements

Minimum 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.

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.

The role

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. 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.

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.

Hiring process

4 steps3 interviewsa task to do6–8 weeks in all

Apply online
Assessments
Online test · Not every role
You may be asked to take the Google Hiring Assessment (workstyle skills) and, for some roles, role-related assessments such as a coding exercise.
Recruiter conversations
With a recruiter · Phone call · 1–2 sessions
One or two shorter conversations assessing key skills, sharing information about the organisation and team, and asking about your preferences such as location.
Project work
In your own time · Not every role
For some roles, a small project before interviews: a case study, writing or code samples.
Interviews
With a rotating cast of Googlers
A panel of structured interviews, over video or in person, with a rotating cast of Googlers; open-ended role-related questions scored against the same rubric for every candidate, no brainteasers.
Decision and offer · With a recruiter

Structured interviews: every candidate for a role is scored against the same rubric; no brainteasers.
AI tools are not permitted during interviews.
For some roles, pre-selected interviews happen virtually before final interviews onsite.