Google · 3 weeks ago
Research Data Scientist, Network and Machines Optimization, Cloud
Sunnyvale, CA
Full-time
Onsite
Mid, Senior Level
$141K/yr - $202K/yr
3+ years expGoogle is a leading technology company, and they are seeking a Research Data Scientist specializing in Network and Machines Optimization. In this role, you will contribute to the development of critical forecasting and capacity planning tools for Google’s technical infrastructure, applying various investigative methods to enhance operational efficiency.
AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
Responsibilities
Collaborate with cross-functional stakeholder 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. Articulate business questions and use mathematical techniques to arrive at an answer using data
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
Qualification
Required
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
Experience with statistical and data analysis software (e.g., R, Python, MATLAB, pandas) and database languages (e.g., SQL)
Preferred
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
Benefits
Bonus
Equity
Benefits
Company
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
10001+ employees
H1B Sponsorship
Google has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)
Funding
Current Stage
Public CompanyTotal Funding
$26.1MKey Investors
Andy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M
Leadership Team
Sundar Pichai
CEO
Thomas Kurian
CEO - Google Cloud
Recent News
The Indian Express
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