Research Data Scientist, Network and Machines Optimization, Cloud

Research Data Scientist, Network and Machines Optimization, Cloud

Google Sunnyvale, CA, USA

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

• PhD degree in Data Science, Operations Research, Industrial Engineering, Statistics, or related field.
• 4 years of relevant work experience (e.g., as a data scientist), including experience applying advanced analytics to planning and infrastructure problems.
• Experience designing and building supply chain models.
• Experience designing and building time‑series forecasting, optimization, simulation, cost‑tradeoff and probabilistic decision‑making models.
• Knowledge of technical infrastructure for cloud computing.
• Excellent problem‑framing, problem‑solving, project management and team collaboration skills.

Operations Data Science is a team of Data Science (Analyst and Research) experts, who provide model‑based decision support to scale Google’s technical infrastructure optimally.

In this role, you will help Google deliver artificial intelligence (AI) and infrastructure at unparalleled scale, efficiency, reliability and velocity by contributing to the development of critical forecasting and capacity planning tools for Google’s technical infrastructure. You will apply investigative methods (forecasting, optimization, simulation, probabilistic cost‑tradeoffs and decision‑making, operations research) to solve issues for Google’s internal services, Google Cloud Platform, and Google’s hardware supply chain.

You will plan the machine‑learning, compute, storage machines that train and serve all of Google and its customers, as part of a team whose mission is to: “Drive optimal capacity planning for machines and cluster networking by providing forecasts, models, policies, metrics and insights.” You will think critically about Google’s cloud and AI as a technology, a business, and an operation.

You will be comfortable discussing total cost of ownership with hardware engineers, resource optimization with software engineers, and reviewing fleet plans and deployment policies with operations executives, all based upon the investigative models that you will be developing.

Behind everything users see online is architecture built by AI and infrastructure teams to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google’s product portfolio possible.

The US base salary range for this full‑time position is $141,000–$202,000 + bonus + equity + benefits.

• Collaborate with cross‑functional stakeholders to understand their business needs and frame investigative problems.
• Develop, maintain, support, and enhance custom forecasting and capacity planning tools for Google’s machine and network infrastructure.
• Drive direct analysis and modeling, drawing from multiple investigative methods and choose the right method and level of complexity appropriate for the business issues.
• Engage broadly to identify, prioritize, frame, and structure ambiguous issues, where data science projects or tools can have the biggest impact.
• Translate analysis results into actionable business recommendations supported by technical documentation and presentations. Measure business outcomes driven from the investigative recommendations. Identify and communicate the issues, opportunities, and automation that the group should be working on.

Google is proud to be an equal‑opportunity and affirmative‑action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.

English proficiency is a requirement for all roles unless stated otherwise.

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