Staff Data Scientist Manager, Ads Metrics

Google; Mountain View (CA); On-site; USD 197,000 - 291,000; Full time

Job summary

A leading company is seeking a Staff Data Scientist Manager to lead analytics for Ads Metrics. This role involves collaborating with stakeholders, designing mathematical models, and managing data processes. Ideal candidates will have extensive experience in analytics and AI/ML technologies, along with strong leadership skills. The position offers a competitive salary and a dynamic work environment.

Benefits

Bonus

Equity

Benefits

Qualifications

• 8 years of experience using analytics to solve product or business problems.
• 3 years of experience as a people manager within a technical leadership role.

Responsibilities

• Collaborate with stakeholders to clarify business questions and provide feedback.
• Design and evaluate models to solve defined problems.
• Own the process of gathering and compiling data across sources.

Skills

Analytics

AI/ML Technologies

Coding

Statistical Analysis

Data Science

Education

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering

Tools

SQL

Python

R

Job description

Staff Data Scientist Manager, Ads Metrics

corporate_fare Google place Mountain View, CA, USA

Apply

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
• 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.
  
• 5 years of experience with analytics and AI/ML technologies, including their current and potential applications to the media and entertainment industry.
• 3 years of experience as a people manager within a technical leadership role.
• Experience working with consumer-facing tech products.

Preferred qualifications:

• 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.
  

About the job

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

The US base salary range for this full-time position is $197,000-$291,000 + 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.
  
• 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). 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 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 .

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.