Product Data Scientist — Insights at Scale

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

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off

Sick time

Maternity leave

Baby bonding leave

Holidays

Job summary

Google Shopping Data Science is seeking a Data Scientist to provide quantitative support, analyze large data sets, and help product teams make data-driven decisions. You will design experiments, measure quality, and communicate insights to engineers, PMs, and leadership.

You will work on cross-functional projects across surfaces like Search and Gemini, shaping the consumer shopping experience for millions of users and merchants worldwide.

Qualifications

• BS in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or related 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.

Responsibilities

• Perform end-to-end analyses on large data sets to extract insights for business problems.
• Prototype analysis pipelines and understand Google data structures and metrics.
• Collaborate cross-functionally with engineers and product managers on design improvements.
• Present findings to stakeholders with clear visualizations and recommendations.
• Develop and launch experiments across Engineering and Product teams.

Skills

Statistics background

Python

R

SQL

Education

Bachelor's degree in quantitative field

Master's degree preferred

Job description

Google Shopping Data Science is seeking a Data Scientist to provide quantitative support, analyze large data sets, and help product teams make data-driven decisions. You will design experiments, measure quality, and communicate insights to engineers, PMs, and leadership.

You will work on cross-functional projects across surfaces like Search and Gemini, shaping the consumer shopping experience for millions of users and merchants worldwide.