Job Description

As a Senior Staff Data Scientist at Google, you will drive innovation within the AI Data organization by leveraging your expertise in data life-cycle management for large-scale AI models, particularly Large Language Models (LLMs). Your role involves solving complex data challenges, collaborating with engineering and product teams, and developing methodologies to enhance AI performance through improved training data.

Requirements

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
12 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a PhD degree.

Responsibilities

Solve complex and ambiguous data science problems with particular focus on model evaluation and fine-tuning data for Large Language Models.
Design and deploy novel data acquisition and quality improvement techniques for foundational models.
Utilize AI models and tools as integral components for evaluating, synthesizing, and understanding complex datasets.
Act as a critical technical partner, collaborating closely with Research, Engineering, and Product teams (Cloud AI Data and Google DeepMind).
Develop new methodologies to improve the performance of Google's models through better training data, including data acquisition, and insights.

Benefits

Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.