Senior Data Scientist, Product, Ads Account Management
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
- 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years work experience with a Master's degree.
Preferred qualifications:
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
- Experience working with large and multiple datasets/data warehouses and ability to pull from such data sets using relevant tools and coding.
- Experience in experimental design (e.g. A/B, multivariate, Bayesian methods) and incrementality analysis.
- Strong business acumen and experience with utilizing unstructured data to answer open-ended business questions.
- Strong knowledge of advanced F1 query optimization techniques.
About the job
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
Responsibilities
- Work closely with UX, Marketing, Support, and the Account Management teams to develop a deep understanding of the needs of our advertisers, developers and other partners.
- Perform deeply technical analyses with unstructured data (e.g. logs) to assess success of billing initiatives in driving better user billing workflows.
- Design and evaluate experiments to help the team understand how product changes affect advertiser experience. Where experimentation is not possible, help identify methodologies for the team to identify directional impact.
- Investigate fundamental business and product strategy questions; deliver deep insights on specific topics and areas to provoke new feature/product ideas, or new interventions to drive improved advertiser policy and billing experiences.
- Drive strategic analysis and reporting for business health metrics, focusing on retention, cost savings and performance.
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.