Research Data Scientist, Core Metrics
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.
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:
Ads Metrics is the Data Science team for Search ads. We support the SAGE (Search
Ads and Google Experience) organization in developing the most important ad
products at Google - from classic text ads, to rich shopping ads, to exciting
new products like Discovery ads. These products - the heart of Google’s business
driving $B+ in annual revenue - are complex, advanced, and they are rapidly
growing and evolving.
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 (e.g., SQL, R, Python). Independently format,
re-structure, and/or validate data to ensure quality, and review the dataset
to ensure it is ready for analysis.
Responsibilities
- Collaborate with stakeholders to clarify business and product questions and translate them into analyses, evaluation metrics, or mathematical models.
- Design and evaluate models to solve defined problems.
- Gather business goals, priorities, organizational context, and information about data infrastructure.
- Extract, compile, structure, and validate data across sources using tools such as SQL, R, and Python.
Qualifications
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- At least 3 years of experience using analytics, coding, database querying, or statistical analysis to solve product or business problems, or a PhD degree.
- Preferred: 5 years of relevant work experience, or a PhD degree.
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.