Senior Product Data Scientist — Metrics & Impact

Socket.dev

Mountain View (CA)

On-site

USD 163,000 - 236,000

Full time

11 days ago

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google is seeking a data-driven Data Scientist to support product and business decisions across Google's worldwide user base. You will provide quantitative support, market understanding, and strategic insight, turning data into actionable recommendations for Engineering, Product Management, and User Experience teams.

You'll design and analyze experiments (A/B tests), perform causal inference, and communicate findings to stakeholders to influence product direction.

Qualifications

Bachelor's degree in a quantitative field or equivalent practical experience.
8 years analytics experience with statistics and coding (or 5+ years with a Master's).
Experience with statistical data analysis, experimental design (A/B testing), and causal inference.

Responsibilities

Define, own and refine product success metrics with PM/UX/Engineering for OKRs.
Apply observational data analysis to address critical business questions.
Collaborate with Engineering to address instrumentation gaps for accurate data collection.
Understand data sets used by Customer Engagement and partner teams; plug gaps in logging.
Improve experimentation velocity and analysis turnaround via self-service tools and processes.