Senior Data Scientist, Research, Ads Insights, Measurement

Google; Mountain View (CA); On-site; USD 166,000 - 244,000; Full time

Job summary

Google is seeking a Senior Data Scientist specializing in Research and Ads Insights to tackle complex advertising challenges and develop innovative data-driven solutions. The role involves collaborating with a multi-disciplinary team to enhance ad products using statistical analysis and machine learning methodologies.

Benefits

Comprehensive health benefits

Stock options

Flexible work schedule

Qualifications

• Master's or PhD in fields such as Statistics or Data Science.
• 5 years experience in analytics or 3 years with a PhD.

Responsibilities

• Collaborate with stakeholders to refine business questions into analysis.
• Gather, extract, and validate data across various sources.

Skills

Statistics

Data Science

Coding (Python)

Coding (R)

SQL

Education

Master's degree in a quantitative field

Job description

Senior Data Scientist, Research, Ads Insights, Measurement

Join to apply for the Senior Data Scientist, Research, Ads Insights, Measurement role at Google

Senior Data Scientist, Research, Ads Insights, Measurement

Join to apply for the Senior Data Scientist, Research, Ads Insights, Measurement role at Google

• 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.
  
  

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
• Experience working on applied data science problems in Ads (e.g. targeting, bidding, ranking, etc.)
• Experience with Deep Learning.
  
  

About The Job

Data scientists in our team bring scientific excellence and statistical methods to bear on the challenges of advertising product creation, development and improvement with a deep, data-driven appreciation for the behaviors of the end user and the ecosystem. As a Data Scientist working on Ads Insights and Measurement, you will develop, evaluate and improve the entire range of Google's advertising products including Search, Display, Apps, TV and Video (YouTube). You will collaborate with a multi-disciplinary team of engineers, analysts and product managers to develop new science and to translate it into deployed products at scale. You will also play a key role in developing new ideas and methods that drive Ad measurement and generate business, including paradigm-shifting Ad-measurement science and products for the privacy-preserving future of digital advertising. In doing so, you will be a key part of building and driving impact on large-scale ad-systems both at Google and in the Ad-tech and mar-tech industry as a whole, globally.

You will have a broad set of technical skills who are ready to take on some of modern advertising’s greatest challenges and make an impact on the entire global ads ecosystem. You will be quantitatively trained (advanced Master's or PhD) with expertise in quantitative methodologies, and with an understanding of statistics and causal inference methods. You will be able to leverage your training and your skills to leverage data and technology to make business decisions. They will be comfortable working cross-functionally and thrive in a fluid, science-driven organization.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or 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). Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
  
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  General Business, Strategy/Planning, and Consulting

• Industries

  Information Services and Technology, Information and Internet

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