Product Data Scientist: End-to-End Analytics & Insights

Socket.dev; Mountain View (CA); On-site; USD 138,000 - 197,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google Shopping is a comprehensive product search engine and a fast-growing ads business within the Consumer Shopping Data Science team. You will evaluate and improve Shopping products, collaborating with engineers and product managers to measure quality, understand user behavior, and drive data-informed decisions.

You will design experiments, launch projects, and communicate findings clearly to leadership.

Qualifications

• Bachelor's degree in a quantitative field or equivalent practical experience.
• 5 years of work experience with analysis applications and coding (Python, R, SQL) or 2 years with a Master's degree.
• Preferred: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related field.

Responsibilities

• Work with large, complex data sets and conduct end-to-end analysis, including data gathering, processing, analysis, and presentation.
• Build and prototype analysis pipelines to provide insights at scale and understand data structures and metrics.
• Collaborate cross-functionally with engineers and product managers to identify opportunities for product and sales improvements.
• Present findings to stakeholders with clear visualizations and actionable business recommendations.
• Research and develop methods to improve the quality of Google's user-facing products.

Skills

Python

R

SQL

Statistics

Data analysis

Analytical thinking

Education

Bachelor's degree

Master's degree (preferred)

Job description

Google Shopping is a comprehensive product search engine and a fast-growing ads business within the Consumer Shopping Data Science team. You will evaluate and improve Shopping products, collaborating with engineers and product managers to measure quality, understand user behavior, and drive data-informed decisions.

You will design experiments, launch projects, and communicate findings clearly to leadership.