Senior Data Scientist, Search Verticals

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

Job summary

A leading technology company is looking for a Senior Data Scientist to enhance search products through advanced statistical methods and insights. This role involves developing strategies to identify growth opportunities, requiring strong analytical skills and extensive experience in the data science field. A Master's degree and significant hands-on experience are required, with a preference for candidates holding a PhD. The position includes a competitive salary range of $166,000 to $244,000, along with bonus and equity options.

Benefits

Equity options

Health benefits

Work-life balance programs

Qualifications

• 5 years of experience using analytics in a data science role.
• Experience with complex data problems in a technology company.
• PhD preferred for advanced roles.

Responsibilities

• Drive projects from start to finish promoting growth opportunities.
• Develop statistical methods for user needs and segmentation.
• Collaborate with stakeholders and translate business questions into analysis.

Skills

Data analysis

Statistical analysis

Machine Learning

Experience with SQL

Education

Master's degree in Statistics, Data Science, Mathematics or related field

PhD in related technical field (preferred)

Tools

Python

R

SQL

Job description

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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA.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.
• 2 years of experience in a data science role within a technology company.
  
  

Preferred qualifications:

• PhD in Computer Science, Statistics, Applied Mathematics, Operations Research or related technical field.
• 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 in growth data science.
• Experience with Machine Learning on large datasets.
  
  

About The Job

As a Search Verticals and International Growth Senior Data Scientist, you will develop advanced statistical and other problem-solving methods to identify growth opportunities such as emerging user needs, user and lifecycle segmentation, conversion, churn and win-back prediction, targeting, uplift modeling and value estimation. You will autonomously drive projects from start to finish, solve complex business problems, and communicate solutions effectively. By interacting cross-functionally and influencing senior leadership, you will advocate for users and focus on sustainable, long-term growth. This role involves understanding a wide range of search products, from GenAI to simple UI optimization, and using logs, surveys, and human-evaluation driven methods to design and validate solutions.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

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.
• Research and develop advanced analysis, forecasting, experimentation, ML and optimization methods to identify growth opportunities, (e.g., forecasting at scale, user segmentation, causal inference modeling, or churn prediction).
• Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. Initiate projects inside and across the organization and drive to completion autonomously.
• 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

  Finance, Analyst, and Accounting/Auditing

• Industries

  Information Services and Technology, Information and Internet

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