Data Scientist Product, Shopping Data
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
- 3 years of experience with statistical data analysis, data mining, and querying (e.g. SQL).
- 1 year of experience managing analytical projects.
Preferred qualifications:
- 5 years of experience in applying data analysis to solve business problems in complex, fast-moving, and ambiguous business environments.
- 1 year of experience working in a complex, matrixed organization.
- Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages (e.g. SQL).
About the job
As a Data Scientist at Google, you will be part of a team of Data Scientists in the Consumer Shopping Data Science team. We are looking for a Data Scientist to lead several efforts under multiple workstreams. In this role, you will have the exciting opportunity to shape the future of our AI products at Google Shopping. You will collaborate with a multidisciplinary team of engineers and PMs on a wide range of problems. You'll bring analytical accuracy and statistical methods to the challenges of measuring quality, improving consumer products, and understanding the behavior of our end-users, merchants, and partners. In addition, you will develop, organize, and launch experiments and projects across Engineering, Product Management, Sales, and Marketing.
Responsibilities
- Work with large, complex data sets and solve difficult, non-routine analysis problems. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both product development and sales activity.
- Interact cross-functionally with a wide variety of leaders and teams, work closely with Engineers and Product Managers to identify opportunities for design, and assess improvements for Google products.
- Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentation of findings at multiple levels of stakeholders through visual displays of quantitative information.
- Research and develop analysis, forecasting, and optimization methods 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.