Senior Staff Data Scientist Manager, Research, Search Verticals

2 Weeks ago • 8-12 Years • Data Analyst • $248,000 PA - $349,000 PA

Job Summary

Job Description

As a Senior Staff Data Scientist Manager, you'll lead the development of advanced analytical methods to identify growth opportunities in Google Search. This includes tasks like user needs identification, segmentation, and churn prediction. You'll independently manage projects, solve complex business problems, and communicate solutions to senior leadership. You'll work across teams, leveraging data from diverse sources (logs, surveys, human evaluations) to design and validate solutions for a wide range of search products. Strong communication and cross-functional collaboration are crucial, emphasizing user advocacy and sustainable growth. The role demands expertise in statistical modeling, data analysis (SQL, Python, R), and a deep understanding of search products and technologies. You will use your experience to enhance the user experience and create a better search experience for billions.
Must have:
  • Master's degree in quantitative field
  • 8+ years experience (10 years without PhD)
  • Expertise in statistical modeling and data analysis
  • Proficient in SQL, Python, R
  • Strong communication and collaboration skills
Good to have:
  • PhD degree
  • 12+ years experience
  • 6 years people management experience
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

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

Preferred qualifications:

  • 12 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a PhD degree.
  • 6 years of experience as a people manager within a technical leadership role.

About the job

As a Search Vertical Data Science Lead, you will develop advanced statistical and other analytical methods to identify growth opportunities, such as emerging user needs, user segmentation, and churn prediction. 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-eval 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 $248,000-$349,000 + 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 .

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.
  • Be a strong advocate for users, focusing on long-term responsible growth and user value.

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