Job Description
Senior Data Scientist/Research Economist
_corporate_fare_ Google _place_ New York, NY, USA; San Francisco, CA, USA
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
_info_outline_
XApplicants 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.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **New York, NY, USA; San Francisco, CA, USA** .
**Minimum qualifications:**
+ Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
+ 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
**Preferred qualifications:**
+ 6 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
+ Experience working with text data (embeddings, LLM classification, etc.).
+ Experience investigating questions in labor economics, industrial organization, or technology diffusion.
**About the job**
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
Google's AI & Economy program is a high-priority, cross-functional initiative focused on producing research, engaging top academics and policymakers, and building new data products to understand AI's economic impact. We are expanding our ambition to establish Google as a leading voice in the public AI & Economy conversation.
We are seeking a creative, intellectually curious and highly motivated Economists/Data Scientist to join the Economics team to design and deliver this marquee project on measuring and communicating to the world the economically meaningful AI usage in Google products, its implications for the wider economy, and support our research efforts more widely.
The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google ( .
**Responsibilities**
+ Design and conduct research on the economic impacts of AI technologies by pioneering novel datasets and empirical methodologies.
+ Develop new conceptual frameworks and taxonomies to systematize ways in which users and businesses engage with AI products, drawing as needed on existing economic research and input from academic advisors.
+ Communicate the research findings externally through high-impact research publications, media articles, and stakeholder presentations.
+ Position Google at the forefront of economic AI research by building strategic partnerships with external academic partners, global policy bodies and think tanks, and leverage these partnerships to improve our research and amplify its impact on evidence-based policymaking.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations 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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Job Tags
Full time,
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