Senior Staff Research Data Scientist

Advance high-quality data and measurable innovation for Large Language Models by applying deep data science and machine learning methodology. This onsite role in Mountain View, CA pairs complex technical problem solving with visibility across stakeholders and model teams, helping shape how performance improves through better training data, metrics, and training approaches.

The Senior Staff Research Data Scientist position focuses on core data science methodologies to drive improvements in model performance. You will define how success is measured, develop new methodologies grounded in data acquisition and analysis, and partner with product and engineering teams to identify opportunities.

Responsibilities

• Work with complex datasets to tackle ambitious data science problems.
• Share findings and present to executive stakeholders and executives, defending your work and influencing strategy and product direction.
• Collaborate across a wide range of product and model teams, working closely with Product Management and engineering to identify opportunities.
• Define key metrics to evaluate success across different formats and use cases.
• Develop new methodologies to improve Google model performance, including approaches related to better training data, data acquisition, and practical insights.

Requirements

• Master’s degree in a quantitative field such as Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative discipline, or equivalent practical experience.
• 10 years of work experience using analytics to solve product or business problems, including coding (for example Python, R, SQL) and querying databases or performing statistical analysis, or 8 years with a PhD.

Preferred Qualifications

• 12 years of work experience using analytics to solve product or business problems, including coding (for example Python, R, SQL) and querying databases or performing statistical analysis, or 10 years with a PhD.
• Experience in Deep Learning, Infrastructure Systems, or Reinforcement Learning.

Compensation & Benefits

US compensation: $262,000 - $364,000 USD per year + 25% bonus target + equity + benefits.

Tools: Python, R, SQL.