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Job Details
Posted date: Jun 12, 2025
Location: Seattle, WA
Level: Senior
Estimated salary: $171,500
Range: $141,000 - $202,000
Description
Support the development and implementation of data-motivated solutions, with large language models (LLMs) and Artificial Intelligence (AI), to address business tests in Global Affairs, including providing trusted advice to policymakers, building an industry leading regulatory and compliance system, and protecting the ability to provide quality products. Work with cross-functional teams to Artificial Intelligence/Machine (AI/ML) tests and opportunities, leveraging Large Language Models (LLMs) for text analysis and knowledge extraction, and translating business needs into analysis and evaluation metrics.Stay up to date with emerging trends and best practices in data science and business analytics.
Global Affairs (GA) plays an important role in Google's priorities, including regulatory lifecycle work, external engagement with key stakeholders worldwide, efforts to ensure trustworthy products, and support of the incredible opportunities opening up in artificial intelligence and beyond. Global Affairs is composed of teams that lie at the intersection of public policy, regulation, compliance, user trust and safety, and legal.
In this role, you will help the Business Intelligence Group enable more data-motivated/predictive Global Affairs organizations. You will leverage the GA data ecosystem to drive decisions for cross-GA initiatives and boost business operations.The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Qualifications
Minimum qualifications: Master's degree in Statistics, Physics, Applied mathematics, Operations Research, Economics or equivalent practical experience. 3 years of experience in solving product or business problems using advanced investigative, machine learning, artificial intelligence, or statistical methods including coding (e.g., Python, R, or SQL).Preferred qualifications: 5 years of experience with applying quantitative methods to analyze structured and unstructured data, draw inferences, and answer investigative questions. Experience in Generative AI, machine learning, Natural Language Processing (NLP), and LLMs, including feature engineering, data pipelines, and causal inference. Experience in working with data infrastructure and databases (e.g., SQL) to gather, extract, and structure data for analysis. Ability to work with cross-functional teams to drive development and deployment of Generative AI and Large Language Model (LLM). Excellent communication skills, with the ability to present technical information to non-technical stakeholders.
Extended Qualifications
Master's degree in Statistics, Physics, Applied mathematics, Operations Research, Economics or equivalent practical experience. 3 years of experience in solving product or business problems using advanced investigative, machine learning, artificial intelligence, or statistical methods including coding (e.g., Python, R, or SQL).Check out other jobs at Google.