Google

Runs Search and YouTube and builds Gemini AI

Search Ads Research Data Scientist

Data ScienceConfirmed live in the last 24 hours

Full-timeMountain View, CA, USAIn-person

About the Job

Requirements

A Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field is required.
At least 3 years of work experience using analytics to solve product or business problems, coding in Python, R, or SQL, querying databases, or performing statistical analysis, or a PhD degree.
Experience in statistical inference is required.
Experience in mathematical modeling is required.
Experience in applied mathematics is required.
Experience in analysis insight is required.

Responsibilities

Collaborate with stakeholders across projects and teams 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, applying specialized knowledge.
Design and evaluate models to mathematically express and solve defined problems with limited precedent.
Gather information about business goals, priorities, organizational context, and existing or upcoming data infrastructure.
Gather, extract, and compile data across sources using relevant tools such as SQL, R, and Python.
Format, restructure, or validate data to ensure quality, and review datasets to ensure they are ready for analysis.
Research and develop analysis, forecasting, and optimization methods to improve the quality of Google's user-facing products.
Evaluate and improve Google Search Ads products.
Collaborate with a multidisciplinary team of engineers and analysts on a wide range of problems.
Apply scientific excellence and statistical methods to Search Ads product creation, development, and improvement, with appreciation for end-user behaviors.

Desired Qualifications

At least 5 years of work experience using analytics to solve product or business problems, coding in Python, R, or SQL, querying databases, or performing statistical analysis, or a PhD degree.

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.

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.

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.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size: 10,001+
Company stage: IPO
Headquarters: Mountain View, CA
Founded: 1998

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