Google

Senior Research Data Scientist, Search Ads

Google • $174K — $252K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 5 years of experience using analytics to solve product or business problems, coding (Python, R, SQL), querying databases, or statistical analysis; or 3 years with a PhD.
  • Preferred: 8 years of experience in analytics or 6 years with a PhD.

Responsibilities

  • Collaborate with stakeholders to clarify business or product questions for analysis.
  • Design and evaluate mathematical models to address complex problems.
  • Gather business goals and data infrastructure context around analysis questions.
  • Own the data gathering and validation process across multiple sources.

Benefits

  • 15% bonus target
  • Equity benefits
  • Access to extensive company resources including training and development opportunities.
Full Job Description
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, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.

Preferred qualifications:
  • 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.


About the job

Our team provides the critical analysis and data insights that guide our AdsUI partners in improving user interfaces, ad formats, and the overall search page experience. We are the premier team driving a $2XXB business, offering you the unique opportunity to land immediate, visible impact on billions of users worldwide-including yourself.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) 15% bonus target equity benefits

Learn more about benefits at Google .

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). Format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.


About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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