Senior Product Data Scientist, Customer Engagement

Google Inc.; Mountain View (CA); On-site; USD 163,000 - 236,000; Full time

Job summary

Google is seeking a Senior Product Data Scientist for Customer Engagement in Mountain View, CA. You will define and refine product success metrics, work with cross-functional teams, and apply statistical analyses to guide product decisions.

The role emphasizes experimentation, data instrumentation, and communicating insights to stakeholders to influence strategy. Responsibilities include building metric frameworks, collaborating with Engineering to ensure robust data collection, and improving

Qualifications

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
• 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of work experience with a Master's degree).
• Experience with statistical data analysis, experimental design (e.g., A/B testing), and causal inference.

Responsibilities

• Define, own and refine product success metrics. Work with PM, UX, and Engineering to develop and maintain a comprehensive metric framework that ties to business priorities and contributes to annual and quarterly OKR settings.
• Apply technical expertise with observational data analysis to address critical business questions.
• Collaborate with Engineering teams to identify and address instrumentation gaps, ensuring accurate data collection for key functionalities, with a focus on our most impactful customer journeys.
• Build an understanding of the data sets used by Customer Engagement and its partner teams, and work with Engineering teams to plug gaps in logging and data infrastructure.
• Improve experimentation velocity and analysis turnaround time through adoption of self-service tools and improved processes.

Skills

Analytics

Statistical analysis

Coding (Python, R, SQL)

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field

Tools

Python

R

SQL

Job description

Share Senior Product Data Scientist, Customer Engagement

corporate_fare Google place Mountain View, CA, USA

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
• 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of work experience with a Master's degree).
• Experience with statistical data analysis, experimental design (e.g., A/B testing), and causal inference.

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

About the job

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. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

In this role, you will 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, and you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering, Product Management, and User Experience. You relish analyzing the numbers one minute and communicating your findings to key stakeholders the next to influence product direction and quantify impact.

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

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• Define, own and refine product success metrics. Work with PM, UX, and Engineering to develop and maintain a comprehensive metric framework that ties to business priorities and contributes to annual and quarterly OKR settings.
• Apply technical expertise with observational data analysis to address critical business questions.
• Collaborate with Engineering teams to identify and address instrumentation gaps, ensuring accurate data collection for key functionalities, with a focus on our most impactful customer journeys.
• Build an understanding of the data sets used by Customer Engagement and its partner teams, and work with Engineering teams to plug gaps in logging and data infrastructure.
• Improve experimentation velocity and analysis turnaround time through adoption of self-service tools and improved processes.

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.

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Equity is granted exclusively and discretionarily 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.