---
title: Research Data Scientist, Core Metrics at Google
description: Google is hiring for the Research Data Scientist, Core Metrics role in Mountain
  View, CA. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/research-data-scientist-core-metrics-at-google-01a168b9-c545-7290-bf62-76fd51b6751c
date: 2026-11-15T01:26:44Z
og_description: Join Google as Research Data Scientist, Core Metrics in Mountain View, CA. Pays
  $147K–$210K per year. Requires 3+ years of experience.
og_image: https://www.foundrole.com/og/rlhrw9.png
breadcrumbs:
  - label: Home
    url: https://www.foundrole.com/
  - label: Search
    url: https://www.foundrole.com/jobs
---

| | |
|---|---|
| **Company** | [Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) |
| **Location** | Mountain View, CA |
| **Salary** | $147K/yr - $210K/yr |
| **Posted** | Oct 23, 2026 |

## Is this job real?

**Ghost job check:** B · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** Google sponsors H-1B visas. It filed 9,179 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for Google.

## Pay for similar jobs

Most similar jobs pay $179,000 – $235,000 a year (median $200,000).

## Description

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/).

- 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.  

### 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.  

- 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.  
## Skills

- Quantitative Analysis
- Analytics
- Data Science
- Python
- R
- Statistical Analysis
- SQL
- Statistics
- Mathematics
- Databases

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