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Today

Senior Research Data Scientist, Search Ads

Google Mountain View, CA

Mountain View, CA

Today

$174k - $252k/yr Full time Ad Analytics Data Analysis Data Analytics

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Job Description

Work on how search ads experiences improve end to end. As a Senior Research Data Scientist on Google’s Search Ads team (onsite in Mountain View, CA), you’ll turn product and business questions into data-driven analyses and models that help AdsUI partners enhance user interfaces, ad formats, and the overall search page experience. You will own the full data workflow, from gathering and extraction to validation and preparation for analysis.

What you’ll do

Partner with stakeholders across projects and within team settings to identify and clarify business or product questions, and help refine them into tractable analyses, evaluation metrics, or mathematical models.
Apply specialized knowledge to use custom data infrastructure or existing data models, then design and evaluate models to express and solve defined problems, including when limited precedent is available.
Collect context on information needs, business goals and priorities, organizational considerations, and the existing and upcoming data infrastructure related to the questions you’re addressing.
Own end-to-end data handling across sources: gather, extract, and compile datasets using tools such as SQL, R, and Python. Re-structure and validate data to ensure quality, and review datasets so they are ready for analysis.

Minimum qualifications

Master’s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
5 years of work experience using analytics to solve product or business problems, including coding (such as Python, R, SQL) and querying databases or performing statistical analysis, or 3 years of work experience with a PhD.

Preferred qualifications

8 years of work experience using analytics to solve product or business problems, including coding (such as Python, R, SQL) and querying databases or performing statistical analysis, or 6 years of work experience with a PhD.

Location: Mountain View, CA (onsite).
Salary range: USD 174,000 to 252,000 per year.

Tools: Python, R, SQL.

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Today

Staff Research Data Scientist, Search Ads, Ads Metrics

Google New York, NY

New York, NY

Today

$207k - $300k/yr Full time Data Analysis Data Analytics Data Processing

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Job Description

This Staff Research Data Scientist role supports Google Search Ads within the Ads Metrics Data Science team. The team measures and informs product development through experiments and deep analysis, turning business questions into rigorous evaluation and modeling.

Role Overview

In this position, you will collaborate with stakeholders across projects and teams to frame measurable questions, develop analysis plans, and guide product insights. You will also work with data infrastructure and modeling approaches to express and solve defined problems even when precedents are limited.

Responsibilities

Partner with stakeholders across projects and in team settings to identify and clarify business or product questions. Translate and refine these questions into tractable analyses, evaluation metrics, or mathematical models, and provide feedback throughout the process.
Apply specialized knowledge to use custom data infrastructure or existing data models as appropriate. Design and evaluate mathematical models that solve defined problems with limited precedent.
Collect information on business goals, priorities, organizational context, and the current and upcoming data infrastructure related to the questions being addressed.
Own the end-to-end workflow for gathering, extracting, and compiling data from multiple sources using tools such as SQL, R, and Python. Format, re-structure, and/or validate data to ensure quality, and review the dataset to confirm readiness for analysis.

Required Qualifications

Master’s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
8 years of work experience using analytics to solve product or business problems, including coding (for example, Python, R, SQL), querying databases, or performing statistical analysis. Alternatively, 6 years of work experience with a PhD degree.

Preferred Qualifications

10 years of work experience using analytics to solve product or business problems, including coding (for example, Python, R, SQL), querying databases, or performing statistical analysis. Alternatively, 8 years of work experience with a PhD degree.

Technical Skills

Python
R
SQL

Location and Compensation

Location: New York, NY (onsite)
Salary: USD 207,000 to 300,000 per year

Benefits

20% bonus target
Equity
Benefits

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Paid Search Data Jobs

Senior Research Data Scientist, Search Ads

Staff Research Data Scientist, Search Ads, Ads Metrics

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