Product Data Scientist, Geo

Google place Mountain View, CA, USA

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years of experience with a Master's degree.

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).

Geo Data Science (DS) Data and Contributions operates within the centralized Geo Data Science team. In this role, you will be collaborating closely with Product Managers, Engineers, Program Managers, and Operations teams across the Geo Platform, and will focus on key issues surrounding map data quality, user interaction with spatial data, and the relative impact of manual versus automated edits.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• Automate data extraction from extensive geospatial datasets to build comprehensive reporting and monitoring dashboards that track business health.
• Conduct data modeling and analysis to discover improvement opportunities and accurately evaluate initiative impact.
• Design and develop statistical methodologies to evaluate data quality while performing thorough root cause analysis on failure cases.
• Present data-driven findings and insights to key stakeholders in regular syncs, making recommendations to lead product or process enhancements.
• Identify and prioritize growth opportunities and critical operational issues, driving execution and noticeable improvements based on continuous feedback.

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.

Equity is granted exclusively and discretionally by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc.

stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.