Senior Staff Data Scientist Manager, Search Quality
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
- 10 years of 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.
- Experience working with human labeled data and machine learning.
About the job
The Search Quality Data Science team works on metrics, insights, data quality, and methodology for Search Quality (now known as ranking) and for Search overall. The team is focused on the user's search experience, and collborates with ranking engineers and Product Managers.
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
- Work with stakeholders and cross-functional teams to align on project priorities and staffing needs. Manage Stakeholders in a complex space.
- Provide technical leadership across multiple concurrent projects.
- Make business recommendations with effective communication (and presentations) with respect to data-quality, process, and decision making for Search launch and project prioritization decisions.
- Work with data sets and solve analytical challenges, applying analytical methods as required. Conduct analysis including: data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.
- Research and develop analysis and experimentation methdology to improve the quality of Google's user facing products.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.