Product Data Scientist, Operations

Product Data Scientist, Operations corporate_fare Google place Austin, TX, USA ; Atlanta, GA, USA ; +2 more ; +1 more bar_chart Mid Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. info_outline X The application window will be open until at least May 25, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Note:

By applying to this position you will have an opportunity to your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Thornton, CO, USA .

Minimum qualifications:

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 5 years of 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.

Preferred qualifications:

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). About the job 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 . Responsibilities Work with product leaders to understand objectives and formulate quantifiable business questions. Create and evaluate metrics to reflect the status of the business. Deliver insights into the data by creating workflows, colabs, dashboards and other visualizations. Partner with engineering teams to understand, design and improve data sources and applications. Perform analysis by utilizing relevant tools (e.g., SQL, R, Python). Use comprehensive technical knowledge, custom data infrastructure or existing data models.