Business Data Scientist, Economics
Job Description
- Experience deploying causal inference tools (Difference-in-Differences, Propensity Score Models, Instrumental Variables)
- Strong familiarity with data
- Master's degree in Economics or related quantitative discipline
- Experience with database query language (SQL)
- Experience with Python or R, and scientific computing
- Experience with quantitative analytics in data engineering and data analysis
- Bonus
- Equity
- Benefits
Minimum qualifications:
- Master’s degree in Economics or a related quantitative discipline, or equivalent practical experience.
- Experience in one or more database query language (e.g., SQL).
- Experience in Python or R, and with scientific computing.
- Experience with quantitative analytics in data engineering and data analysis.
Preferred qualifications:
- Experience in deploying causal inference tools to answer business questions (e.g., Difference-in-Differences, Propensity Score Models, Instrumental Variables).
- Strong familiarity and intuition around data.
About the job
As a Business Data Scientist within Economics, you will be an internal consultant working with teams across the core Google product areas. Your work will support the proliferation of economic ideas and data driven decisions across the company.
In this role, you will support the widespread use of best practices in causal inference and econometric modeling across Google. This will primarily involve translating business questions into concrete analytical solutions by deploying econometric tools as well as building and maintaining complex datasets and workflows. You'll sift through complex data, work on continuously evolving questions, and engage in empirically driven storytelling.
The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.
The US base salary range for this full-time position is $127,000-$187,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 about .
Responsibilities
- Build and maintain large, organized data sets from complex, unstructured, and dynamic data sources.
- Conduct exploratory data analysis to develop and test hypotheses.
- Work with teammates and business partners to develop analytical solutions to complex business problems.
- Provide analytical and intellectual support to partner teams.
