Data Scientist III, Product, Payments Compliance

Google • Mountain View, CA

390d • $122,000 - $178,000

About The Position

As a Data Scientist III in the Payments Compliance team at Google, you will leverage your analytical expertise to provide quantitative support and strategic insights that help shape decision-making across the organization. Your role involves analyzing complex data sets, managing analytical projects, and collaborating with various teams to ensure compliance and safety in Google's payment systems. You will be responsible for translating data into actionable insights, influencing product development, and reporting key performance indicators to leadership.

Requirements

• Master's degree in Statistics, Economics, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience.
• 3 years of experience with statistical data analysis, data mining, and querying (e.g., SQL).
• 1 year of experience managing analytical projects.

Nice To Haves

• 3 years of experience in scripting, statistical analysis (e.g., R, Stata, SPSS, SAS), developing and managing metrics, and evaluating programs/products.
• 1 year of experience working in a complex, matrixed organization.
• Experience with data-warehouse tables, operational data and SQL.
• Experience in product analytics payments.
• Ability to effectively write/modify SQL queries of high complexity.

Responsibilities

• Perform analysis by utilizing relevant tools (e.g., SQL, R, Python).
• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).
• Format, re-structure, and validate data to ensure quality.
• Report Key Performance Indicators (KPI) to support business reviews with cross-functional/organizational leadership team.
• Translate analysis results to business insights or product improvement opportunities.
• Provide investigative insights and recommendations to influence product feature development decisions, and with some guidance.
• Build prototype analysis and business cases iteratively to provide insights at scale.
• Develop comprehensive knowledge of Google data structures and metrics.

Benefits

• Health insurance
• 401k
• Paid holidays
• Flexible scheduling
• Professional development
• Tuition reimbursement

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Web Search Portals, Libraries, Archives, and Other Information Services
• Education Level: Master's degree