Data Scientist, Product, Workspace

Overview

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. You will weave stories with meaningful insight from data, and make critical recommendations to colleagues in Engineering and Product Management.

Workspace is a cloud-based productivity suite that includes Gmail, Calendar, Meet, Documents, Sheets, Slides, Drive and more. It serves over three billion active users globally. This is an exciting time to join a team shaping the future of hybrid work.

Google is an engineering company  hire people with a broad set of technical skills to tackle technology challenges and impact users worldwide. Engineers work on scalability, storage solutions, large-scale applications and new platforms for developers. Projects span Google Ads, Chrome, Android, You Tube, and more.

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at 6.15 hours per pay period for the first five years
• Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA;
Kirkland, WA, USA;
New York, NY, USA;
Seattle, WA, USA
.

• Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
• 7 years of experience with statistical data analysis.
• 6 years of experience conducting A/B tests to drive improvement of product metrics.
• 5 years of experience with data mining, querying, and managing investigative projects.
• 3 years of experience developing and managing metrics or evaluating programs/products.

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 12 years of experience solving product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

• Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide leadership through proactive contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).
• Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation and implementation of investigative/statistical models, and presentation to stakeholders.
• Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines problem-solving with product-specific expertise.
• Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and help define operational goals and objectives.
• Oversee the contributions of others and develop colleagues’ capabilities in the area of specialization.

Google is proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law.

If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.