Research Data Scientist, Operations Data Science

Google • Austin, TX

5h

About The Position

Operations Data Science (ODS) is a team of analysts who support data-driven
decisions to scale capacity optimally for all of Google. Within ODS our
forecasting and capacity planning functions span Resource Efficiency Data
Science (forecasting and planning models for product area capacity planning) and
Fleet Forecasting (machines and long-term busy power forecasting). Our goal is
to develop tools to support self-driving automation of fleet capacity planning
through smart location-specific predictive analytics of resource capacity
requirements.

You will contribute to the development of critical forecasting and capacity
planning tools for Google, as well as other resource efficiency initiatives.
Through this work you will not only help Google run as efficiently as possible,
but you will also help us to advance the state of the art in statistical
forecasting for resource planning.

As a member of the Resource Efficiency Data Science team, you will apply
operations research and statistical methods to solve challenges related to
compute, storage, network, and data center capacity for both Google’s internal
services and Google Cloud Platform. You will work broadly across Google’s
Platforms Engineering, Systems Infrastructure, and Site Reliability Engineering
teams to optimize our deployment of resources and drive innovation in our
software stack, allowing for efficient use of resources.

Requirements

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Nice To Haves

• 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Responsibilities

• Develop, maintain, support, and enhance custom forecasting and capacity planning tools for Google product area resource planning.
• Lead projects with analysis and modeling, drawing from multiple analytical methods to choose the right tool and right level of complexity appropriate for the business challenges.
• Engage broadly with the organization to identify, prioritize, frame, and structure complex and ambiguous challenges, where advanced analytics projects or tools can have the biggest impact. Identify and communicate the challenges and opportunities that the group should be working on.
• Help define the analytical direction and influence the direction of the associated engineering and infrastructure work.
• Articulate business questions and use mathematical techniques to arrive at an answer using data. Translate analysis results into business recommendations.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level