Senior Research Data Scientist, Network and Machines Optimization, Cloud

Location: Sunnyvale, CA, USA

Compensation:

$166,000-$244,000/year + bonus + equity + benefits

Responsibilities:

• Develop, maintain, support, and enhance custom forecasting and capacity planning tools for Google’s machine and network infrastructure.
• Collaborate with cross-functional stakeholders to understand their business needs and frame analytical problems.
• Drive analysis and modeling by selecting appropriate analytical methods and using mathematical techniques.
• Translate analysis results into actionable business recommendations.
• Identify opportunities and challenges for automation within the data science group.

Minimum Qualifications:

• Master's degree in a quantitative field (Statistics, Data Science, Mathematics, etc.)
• 5 years of experience using analytics to solve business problems or 3 years with a PhD.
• 4 years of experience in data analysis or related fields.
• Experience with statistical software (R, Python, MATLAB) and database languages (SQL).

Preferred Qualifications:

• PhD in a quantitative field.
• 4 years of relevant work experience in data science.
• Experience with cloud computing infrastructure and supply chain models.
• Strong problem-solving and project management skills.