Senior Research Data Scientist, Central Operations Analytics

Google • Mountain View, CA

2d

About The Position

The Central Operations Analytics team's (COAT) mission is to improve quality and manufacturing through data-driven decision making. The team focuses on governing quality return rates forecast through in-house developed algorithms, owning the strategy and development of scalable data tools, prototyping GenAI and advanced dashboards, and leading analytics to solve critical business problems.

Requirements

• Master's degree in statistics, data science, mathematics, physics, economics, operations research, engineering, a related quantitative field, or equivalent practical experience.
• 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
• Experience using ETL tools.
• Experience conducting root cause analysis.

Nice To Haves

• 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
• Experience supporting manufacturing, supply chain, or quality analytics.

Responsibilities

• Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions.
• Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
• Use custom data infrastructure or existing data models as appropriate.
• Design and evaluate models to mathematically express and solve defined problems with limited precedent.
• Develop specialized tools for root cause analysis, station diagnostics, and statistical process control (SPC) to enable continuous improvement.
• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).
• Format, restructure, or validate data to ensure quality.
• Analyze telemetry data and customer sentiment to quantify its impact on quality and inform design improvements.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees