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Google

Product Data Scientist, Operations

Google

Published 14 May 2026
Thornton, CO, USA& Other locations
138K - 198K USD Annual
Full Time
27500 - 275000 people

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Role Highlights

Languages used

Python
R
SQL

Key skills

Data Infrastructure
Data Science
Statistical Analysis
Statistics
Mathematics
Physics
Economics
Quantitative
Cloud
AI
Operations

Tools, Libraries and Frameworks

Description

The role involves supporting the operation and reliability of cloud infrastructure through data science. Professionals in this position collaborate with product leaders to define business objectives and translate them into quantifiable questions. They are responsible for developing metrics to monitor business performance and creating visualizations to communicate data insights. Additionally, the role requires partnering with engineering teams to design and enhance data sources and applications. The work involves utilizing technical knowledge to build workflows and models that support infrastructure planning and analysis.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Data Science, Engineering, Physics, or Economics. A minimum of five years of experience in analysis applications and coding is required, or two years of experience if the candidate holds a Master's degree. Proficiency in Python, R, and SQL is necessary for performing statistical analysis and solving business problems. The role also requires experience in driving progress, solving complex problems, and mentoring junior team members.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Google

Size

275773

Website

goo.gle

HQ

Mountain View, US

Public/Private

Public Company

Description

At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.

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