Senior Staff Data Scientist Manager, Research, Search Verticals

Google; 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 drive innovative statistical and analytical methods. In this pivotal role, you will tackle complex business challenges, advocate for users, and collaborate with cross-functional teams to identify growth opportunities. Your expertise in analytics, coding, and statistical analysis will be key in developing solutions that enhance user experiences across various search products. This is a unique opportunity to make a significant global impact within a forward-thinking organization committed to diversity and inclusion.

Qualifications

• 10 years of experience using analytics to solve business problems.
• Experience as a people manager within a technical leadership role.

Responsibilities

• Collaborate with stakeholders to clarify business questions.
• Design and evaluate models to solve defined problems.
• Own data gathering and validation processes.

Skills

Analytics

Python

R

SQL

Statistical Analysis

Data Visualization

Education

Master's degree in Statistics

PhD in a related field

Tools

SQL

R

Python

Job description

Minimum qualifications:

1. Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
2. 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:

1. 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.
2. 6 years of experience as a people manager within a technical leadership role.

Role Description:

As a Search Vertical Data Science Lead, you will develop advanced statistical and analytical methods to identify growth opportunities, such as emerging user needs, user segmentation, and churn prediction. You will independently drive projects from start to finish, solve complex business problems, and communicate solutions effectively. By collaborating cross-functionally and influencing senior leadership, you will advocate for users and focus on sustainable, long-term growth. This role involves understanding various search products, from GenAI to UI optimization, and utilizing logs, surveys, and human-eval driven methods to design and validate solutions.

About Google Search:

We are reimagining how people search for information—any way and anywhere. To achieve this, we tackle complex engineering challenges, expand our infrastructure, and maintain a universally accessible and useful experience for billions worldwide. Joining the Search team offers an opportunity to make a significant impact globally.

Compensation:

The US base salary range for this full-time position is $248,000-$349,000 plus bonus, equity, and benefits. Salary ranges are role, level, and location-dependent. Your recruiter will share specific details during hiring. Note that listed salaries reflect base pay only; bonuses, equity, and benefits are additional.

Responsibilities:

1. Collaborate with stakeholders across projects to identify and clarify business or product questions. Provide feedback to translate these questions into analysis, metrics, or models.
2. Design and evaluate models to mathematically express and solve defined problems using specialized knowledge and data infrastructure.
3. Gather information on business goals, priorities, organizational context, and data infrastructure.
4. Own data gathering, extraction, and validation processes using tools like SQL, R, Python to ensure data quality and readiness for analysis.
5. Advocate for users, emphasizing long-term responsible growth and value.

Google is proud to be an equal opportunity employer and committed to diversity and inclusion. We consider all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or criminal history. For accommodations, please complete our Accommodations for Applicants form.