Product Data Scientist, Geo Places
Role summary
The Product Data Scientist, Geo Places will partner with cross-functional stakeholders to measure and improve the quality and quantity of place data. This role involves developing models, analyzing logs, and designing attribution metrics to enhance Maps user experiences. The Product Data Scientist will utilize experimentation and causal analysis to understand the impact of data quality on user behavior and product usage, influencing organizational priorities for data-focused investments. The position requires a strong quantitative background with experience in statistical analysis and coding.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
New York, NY, USA; Mountain View, CA, USA
.
Minimum qualifications:
- Bachelor's degree in statistics, mathematics, data science, engineering, physics, economics, a related quantitative field, or equivalent practical experience.
- 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) (or 2 years of experience with a Master's degree).
Preferred qualifications:
- Master's degree in statistics, mathematics, data science, engineering, physics, economics, or a related quantitative field.
About the job
The US base salary range for this full-time position is $138,000-$198,000 + 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
- Partner with stakeholders across multiple functions to measure quality and quantity of place data through a combination of modeling, agentic operators, and logs analysis.
- Prioritize and communicate data needs, making recommendations and driving implementation for data curation efforts to improve Maps user experiences.
- Design and implement attribution metrics for stakeholder programs. Conduct analyses and influence organizational priorities for focused investments.
- Utilize experimentation and causal analysis to demonstrate effects of data quality and coverage on user behavior and product usage.
Google is proud to be an equal opportunity workplace and is 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 .