Senior Data Scientist — Product Engagement & Growth

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

Job summary

Google is seeking a Data Scientist who will provide quantitative support, market understanding and strategic insight to partners across the organization. You will weave stories with meaningful data interpretations and present recommendations to Engineering, Product Management and User Experience teams.

In this role, you will influence product direction and quantify impact, collaborating with cross-functional teams to improve decision-making processes and analytics infrastructure.

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.

Job description

Google is seeking a Data Scientist who will provide quantitative support, market understanding and strategic insight to partners across the organization. You will weave stories with meaningful data interpretations and present recommendations to Engineering, Product Management and User Experience teams.

In this role, you will influence product direction and quantify impact, collaborating with cross-functional teams to improve decision-making processes and analytics infrastructure.