Senior Data Scientist, GeminiApp, DeepMind

As a Network Implementation Engineer, you will be the initial point of our efforts to execute deployment, maintenance, and operations of private data networks worldwide. You will work with Technical Program Managers, Network Engineers, Design and Infrastructure Engineers, Field Engineers within Google, as well as construction and telecommunications vendors and contractors, all to position your team and organization for success. You will facilitate faster, better, and more efficient, positive outcomes for the business and our customers. Your objective will be to build the world’s most reliable, cost-effective and scalable network to support all of our current and future customers and users globally.

As a Network Implementation Engineering, you will be responsible for the evaluation, design, and construction of Google's space in colocation facilities across the globe. You will plan, design, and generate construction level Computer Aided Design (CAD) drawings for the spaces we utilize across the globe. You will have a wide scope of background across the data center industry, including operations, engineering (network, electrical, or mechanical), making the time more effective at the work we perform. Google's network provides services to millions of Internet users around the world. Our metros are on the edge of our network where Google connects to its users. The Network Team is responsible for operating that network reliably and at scale. Our team owns the full life cycle of all space, power, and network assets in all of Google’s data centers and metro points of presence globally. From the foundation, we are involved from site acquisition to construction and are accountable for what space and power is delivered. We're involved in every facet of network delivery from architecture and design to installation, configuration, activation, and commissioning.

Responsibilities

• Partner with product, engineering, and User Experience (UX) to develop data-driven product strategies.

• Translate ambiguous questions into well-defined problems, design experiments, and analyze large datasets for insights. Communicate findings and recommendations to stakeholders, including executives.

• Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience.

• Advocate data-driven culture by feeding user engagement insights back into models.

• Collaborate with the GenAI team on model quality and feature adoption.

Qualifications Minimum qualifications:

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.

• 4 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.

Preferred qualifications:

- Ability to present to executives with clear communication, with a demonstrated track record of cross-functional stakeholder management and leadership through influence.