Senior Staff Research Data Scientist, AI Data Research

Role Overview

As a Senior Staff Research Data Scientist, you will be a key driver of innovation. This role demands deep expertise in machine learning and a strong foundation in core data science methodologies. You will be instrumental in conceiving and deploying solutions, directly contributing to the advancements of AI.

Responsibilities

• Work with data sets and solve complex and ambitious data science problems.
• Share/present to executive stakeholders and executives, effectively defend your work, and influence strategy and product direction.
• Interact cross-functionally with a wide range of product and model teams. Work closely with Product Management and engineering to identify opportunities.
• Define key metrics to measure success in various shapes and forms.
• Develop new methodologies to improve the performance of Google's models through better training data, including data acquisition, and insights.

Requirements & Qualifications

Minimum qualifications:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
• 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.

Preferred qualifications:

• 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.
• Experience in Deep Learning, Infrastructure Systems, or Reinforcement Learning.

Application Instructions

Apply directly on Google Careers at Senior Staff Research Data Scientist, AI Data Research↗.

Direct application sign-in: Submit Application↗

Note: In most instances, this position requires in-person interviews as part of the hiring process.