Senior Product Data Scientist, ML Resource Efficiency

Socket.dev; Sunnyvale (CA); On-site; USD 163,000 - 236,000; Full time

Job summary

Google’s Cloud ML Efficiency Data Science team seeks a senior data scientist to optimize ML compute deployment. You will collaborate with finance, PMs, and executives to drive cost-effective scaling of ML resources worldwide.

Ideal candidates will have strong analytics, coding in Python/R/SQL, and experience with ML infrastructure. The role requires strategic thinking, ambiguity tolerance, and stakeholder management.

Qualifications

• Bachelor's degree in quantitative field required; master's preferred.
• 8 years analytics experience or 5 years with a Master’s degree.
• Proficiency in Python, R, SQL and statistical methods.

Responsibilities

• Analyze data to solve product and business problems.
• Develop scalable analytics processes and tests.
• Report KPIs to leadership and translate results to insights.
• Prototype analyses and build business cases for scale.
• Influence cross-functional teams on resources and direction.

Skills

Analytics experience

Statistical analysis

Programming

Python

R

SQL

Data-driven

Education

Bachelor's degree in a quantitative field

Master's degree preferred

Tools

SQL

Python

R

Job description

Google’s Cloud ML Efficiency Data Science team seeks a senior data scientist to optimize ML compute deployment. You will collaborate with finance, PMs, and executives to drive cost-effective scaling of ML resources worldwide.

Ideal candidates will have strong analytics, coding in Python/R/SQL, and experience with ML infrastructure. The role requires strategic thinking, ambiguity tolerance, and stakeholder management.