Data Scientist, Product, Customer Engagement

About the Role

Key Responsibilities

• Define, own, and refine product success metrics, work with product management, UX, and engineering to develop and maintain a comprehensive metric framework that ties to business priorities and contributes to annual and quarterly OKR setting.
• Collaborate with Engineering teams to identify and address instrumentation gaps, ensuring accurate data collection for key functionalities, with a focus on 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.
• Build data aggregation and analysis pipelines, design new metrics, and create dashboards and visualizations around them.
• Improve experimentation velocity and analysis turnaround time through adoption of self-service tools and improved processes.

Requirements

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
• 5 years of work 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 work experience with a Master's degree).

Nice to Have

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of experience with statistical data analysis, modeling, experimentation, and causal inference.
• 5 years of experience with data mining, querying, and managing analytical projects.
• 5 years of experience developing and managing metrics or evaluating programs/products.
• Experience solving unstructured business problems with data science, translating results into business recommendations, and measuring the success of those initiatives.
• Ability to work in an unstructured environment with ambiguity.

Qualifications

• Bachelor's degree in a relevant field or equivalent practical experience.

Benefits & Perks

• US base salary range for this full-time position is $132,000-$189,000 + 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.