Search Ads Research Data Scientist
About the role
MINIMUM QUALIFICATIONS:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics,
Operations Research, Engineering, or a related quantitative field.
- 3 years of work experience using analytics to solve product or business
problems, coding (e.g., Python, R, SQL), querying databases or statistical
analysis, or a PhD degree.
- Experience in statistical inference.
- Experience in mathematical modeling.
- Experience in applied mathematics.
- Experience in analysis insight.
PREFERRED QUALIFICATIONS:
- 5 years of work experience using analytics to solve product or business
problems, coding (e.g., Python, R, SQL), querying databases or statistical
analysis, or a PhD degree.
ABOUT THE JOB:
As a Data Scientist, you will evaluate and improve Google Search Ads products.
You will collaborate with a multi-disciplinary team of engineers and analysts on
a wide range of problems. This position will bring scientific excellence and
statistical methods to the challenges of Search Ads product creation,
development and improvement with an appreciation for the behaviors of the end
user.
Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
- Collaborate with stakeholders in cross-projects and team settings to identify
and clarify business or product questions to answer. Provide feedback to
translate and refine business questions into tractable analysis, evaluation
metrics, or mathematical models.
- Use custom data infrastructure or existing data models as appropriate, using
specialized knowledge. Design and evaluate models to mathematically express
and solve defined problems with limited precedent.
- Gather information, business goals, priorities, and organizational context
around the questions to answer, as well as the existing and upcoming data
infrastructure.
- Own the process of gathering, extracting, and compiling data across sources
via relevant tools (SQL, R, Python). Format, re-structure, or validate data
to ensure quality, and review the dataset to ensure it is ready for analysis.
- Research and develop analysis, forecasting, and optimization methods to
improve quality of Google's user facing products.
Responsibilities
- Collaborate with stakeholders to define product and business questions and translate them into analyses, metrics, or models.
- Design and evaluate mathematical models to solve defined problems.
- Gather business context, goals, priorities, and data infrastructure information.
- Extract, compile, validate, and prepare data using tools such as SQL, R, and Python.
- Develop analysis, forecasting, and optimization methods to improve Google user-facing products.
Qualifications
- Master's degree in a quantitative field or a PhD degree.
- At least 3 years of experience using analytics, coding, database querying, or statistical analysis to solve product or business problems.
- Experience in statistical inference, mathematical modeling, applied mathematics, and analysis.
Benefits
- 15% target bonus
- Equity
- Benefits
Skills mentioned
About Google
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh
H-1B sponsorship history
Historical employer filing data was found for Google. The employer record includes 57,181 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.