Senior AI Data Scientist, Data Excellence & Strategy

Google Inc.; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google is seeking a Senior Staff Research Data Scientist to lead data-driven AI initiatives for data quality and model improvement. You will own outcomes, define metrics, and partner with product and engineering teams to shape AI data strategies.

You will apply deep ML expertise, manage ambiguous problems, and communicate with executives to influence product direction, while driving scalable data solutions across large datasets at scale.

Qualifications

• 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.

Responsibilities

• Work with large, complex 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.

Skills

Python

R

SQL

Machine Learning

Data Analysis

Education

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or related quantitative field

Job description

Google is seeking a Senior Staff Research Data Scientist to lead data-driven AI initiatives for data quality and model improvement. You will own outcomes, define metrics, and partner with product and engineering teams to shape AI data strategies.

You will apply deep ML expertise, manage ambiguous problems, and communicate with executives to influence product direction, while driving scalable data solutions across large datasets at scale.