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- Tasks: Conduct groundbreaking research on AI's economic impact and develop innovative data products.
- Company: Join Google, a leader in AI and economic research with a collaborative culture.
- Benefits: Competitive salary, inclusive workplace, and opportunities for professional growth.
- Why this job: Make a real difference in understanding AI's role in the economy while working with top experts.
- Qualifications: Master's degree in relevant fields and experience in analytics and coding.
- Other info: Dynamic environment with strong emphasis on collaboration and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Google's AI and 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. You will help design and deliver projects, measuring and communicating to the world about the economically meaningful AI usage in Google products and its implications for the wider economy. You will also widely support research efforts.
Responsibilities
- Design and conduct research on the economic impacts of AI technologies by pioneering novel data sets 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.
- Maintain effective working relationships with partners across Google, including GDM, Research, Public Policy, Search, Google Trends, Behavioral Economics, to leverage inputs from other teams and communicate research findings to support product strategy decisions.
Minimum qualifications
- Master's degree in Economics, Statistics, Data Science, Public Policy, Business, Finance, a related field, or equivalent practical experience.
- 4 years of experience using analytics to solve product or business problems, economic research, coding (e.g., Python, R, SQL), querying databases, or statistical analysis.
Preferred qualifications
- PhD in Economics or a related field with a focus on labor economics, policy evaluation, industrial organization, or applied econometrics.
- 6 years of experience using analytics to solve product or business problems, economic research, coding (e.g., Python, R, SQL), querying databases, or statistical analysis.
- Experience conducting research or other innovative analyses, involving methodologies or data sources and working with text data or datasets.
- Experience with AI tools and technologies, with a passion for understanding their wider economic impact.
- Ability to communicate technical analyses to non-technical stakeholders and senior management.
Senior Data Scientist/Research Economist employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist/Research Economist
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those connected to Google or similar companies. Attend industry events, webinars, and meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, data analyses, and any AI-related work. This will give potential employers a taste of what you can bring to the table, especially in a role focused on economic impacts.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex concepts to non-technical stakeholders, so practice breaking down your research findings into digestible bits that anyone can understand.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Scientist/Research Economist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Scientist/Research Economist role. Highlight your experience in economic research, coding, and analytics, and don’t forget to mention any relevant projects or publications!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI's economic impact and how your background makes you a perfect fit for the team. Be sure to connect your past experiences to the responsibilities outlined in the job description.
Showcase Your Research Skills: Since this role involves designing and conducting research, include examples of your previous work in this area. Whether it’s a project where you developed novel datasets or a publication that made an impact, let us see your analytical prowess!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Google
✨Know Your Data Inside Out
Make sure you’re well-versed in the data sets and methodologies relevant to AI's economic impact. Brush up on your coding skills in Python, R, or SQL, as you'll likely be asked to demonstrate your analytical prowess during the interview.
✨Communicate Clearly
You’ll need to explain complex economic concepts to non-technical stakeholders. Practice articulating your research findings in a straightforward manner, using examples that relate to real-world applications of AI in business.
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail. Highlight any innovative analyses you've conducted and how they contributed to understanding economic impacts, especially in relation to AI technologies.
✨Build Strategic Partnerships
Demonstrate your ability to collaborate with external partners, such as academic institutions and policy bodies. Share examples of how you’ve successfully built relationships that enhanced your research efforts and influenced policy decisions.
