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Google · 1 day ago

Senior Research Data Scientist, Central Operations Analytics

Mountain View, CA, USA

Full-time

Onsite

Senior Level

$166K/yr - $244K/yr

5+ years exp

Google is seeking a Senior Research Data Scientist for their Central Operations Analytics team, which aims to enhance quality and manufacturing through data-driven decision making. The role involves developing scalable data tools, conducting root cause analysis, and collaborating with stakeholders to solve critical business problems.

AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models

Use custom data infrastructure or existing data models as appropriate. Design and evaluate models to mathematically express and solve defined problems with limited precedent

Develop specialized tools for root cause analysis, station diagnostics, and statistical process control (SPC) to enable continuous improvement

Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, restructure, or validate data to ensure quality

Analyze telemetry data and customer sentiment to quantify its impact on quality and inform design improvements

Qualification

PythonRSQLETL toolsRoot cause analysisStatistical analysisData scienceManufacturing analyticsSupply chain analyticsQuality analyticsCollaborationProblem-solving

Required

Master's degree in statistics, data science, mathematics, physics, economics, operations research, engineering, a related quantitative field, or equivalent practical experience

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 3 years of work experience with a PhD degree

Experience using ETL tools

Experience conducting root cause analysis

Preferred

8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree

Experience supporting manufacturing, supply chain, or quality analytics

Benefits

Bonus

Equity

Benefits

Company

Google

Glassdoor4.4

Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.

Founded in 1998

Mountain View, California, USA

10001+ employees

https://www.google.com

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 Company

Total Funding

$26.1M

Key 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

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