SENIOR STAFF DATA SCIENTIST MANAGER, RESEARCH, SEARCH VERTICALS

Google Inc.; San Francisco (CA); On-site; USD 248,000 - 349,000; Full time

Job summary

An established industry player is seeking a Search Vertical Data Science Lead to develop advanced analytical methods that identify growth opportunities. This role involves leading projects from inception to completion, solving complex problems, and collaborating with cross-functional teams. You will advocate for user-focused growth while working on a diverse range of search products. Join a dynamic environment where your contributions will impact billions globally and help shape the future of information search. If you are passionate about data and analytics, this is the perfect opportunity for you.

Qualifications

• 10+ years of experience in analytics or 8 years with a PhD.
• Experience in coding and statistical analysis.

Responsibilities

• Lead projects to develop analytical methods for growth opportunities.
• Collaborate with stakeholders to solve complex business problems.

Skills

Python

R

SQL

Statistical Analysis

Data Analytics

Education

Masters in Statistics

PhD in related field

Tools

Data Infrastructure Tools

Job description

Below is a revised version of the job description with improved formatting, clarity, and focus:

Corporate Fare Google Places

Locations: San Francisco, CA, USA; Bellevue, WA, USA; Mountain View, CA, USA; New York, NY, USA; +3 more

Experience Level

Advanced

Experience owning outcomes and decision-making, solving ambiguous problems, and influencing stakeholders; deep expertise in the domain.

Application Process

Apply

• Link: Copy link

Additional Information

Note: By applying to this position, you can share your preferred working location from the listed options.

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

Preferred Qualifications

• 12 years of experience in analytics for product or business problems, coding, database querying, or statistical analysis; or 10 years with a PhD.
• 6 years of experience as a people manager in a technical leadership role.

About the Job

As a Search Vertical Data Science Lead, you will develop advanced analytical methods to identify growth opportunities, such as emerging user needs, segmentation, and churn prediction. You will lead projects from start to finish, solve complex problems, and communicate solutions effectively. Your role involves cross-functional collaboration, influencing senior leadership, and advocating for users to ensure sustainable growth. You will work on a wide range of search products, utilizing logs, surveys, and human-eval methods to design and validate solutions.

Google Search aims to reimagine information search, addressing engineering challenges and expanding infrastructure while maintaining accessibility and utility worldwide. Join us to impact billions globally.

Compensation

The US base salary range is $248,000-$349,000 plus bonus, equity, and benefits. Salary is role-, level-, and location-dependent, with individual pay influenced by skills, experience, and education. Details will be discussed during hiring.

Responsibilities

• Collaborate with stakeholders to identify and clarify business or product questions, translating them into analysis or models.
• Design and evaluate models to solve defined problems, leveraging specialized knowledge and data infrastructure.
• Gather information on goals, priorities, and data infrastructure to inform analysis.
• Extract, compile, and validate data using tools like SQL, R, Python to ensure quality for analysis.
• Advocate for responsible, long-term user-focused growth.

Equal Opportunity Statement

Google is an equal opportunity employer committed to diversity and inclusion. We welcome applicants regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic info, veteran status, marital status, pregnancy, or other protected bases. Learn more about our policies and rights.

Additional Notes

English proficiency is required for all roles to facilitate global collaboration. We do not accept agency resumes; unsolicited resumes may not be compensated.