---
title: Search Ads Research Data Scientist at Google
description: Google is hiring for the Search Ads Research Data Scientist role in Mountain View,
  CA. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/search-ads-research-data-scientist-at-google-01a16283-4300-7eff-884b-e9434de44f0f
date: 2026-11-15T01:26:44Z
og_description: Join Google as Search Ads Research Data Scientist in Mountain View, CA. Pays $147K–$210K
  per year. Requires 3+ years of experience.
og_image: https://www.foundrole.com/og/fa50n1.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 22, 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

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/).

- 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.

### 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.  

- 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.
## Skills

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

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