Staff Research Data Scientist, AI Data Intelligence

Socket.dev; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Socket.dev seeks a data-focused professional to drive analytics for large language model data collection and quality improvement. The role involves designing data acquisition methods and collaborating with researchers, engineers, and product teams to enhance data quality for foundational models.

You will apply advanced analytics, SQL, and programming to solve complex data problems and influence model training data strategies for AI breakthroughs.

Qualifications

• Master's degree required in a quantitative field.
• 8 years of analytics experience with product/business problems or 6 years with a PhD.

Responsibilities

• Be a distinct contributor with focus on Human Data Collection for LLMs and address complex data science problems.
• Design and deploy novel data acquisition and quality improvement techniques for foundational models.
• Utilize AI models and tools to evaluate, synthesize, and understand complex datasets.
• Collaborate closely with Research, Engineering, and Product teams (Cloud AI Data and Google DeepMind).
• Develop new methodologies to improve model performance through better training data insights.

Skills

Python

R

SQL

Data querying

Statistical analysis

Education

Master's degree in quantitative field

PhD degree

Job description

Minimum qualifications:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD degree.

Preferred qualifications:

• 10 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of experience with a PhD degree.

About the job:

Imagine being at the core of the AI revolution, where your expertise directly fuels the most advanced Large Language Models. We are the driving team behind high-quality data – the essential ingredient for unlocking unprecedented AI breakthroughs. Partner with the most resourceful minds, define data excellence, and make a tangible impact on the future of intelligent systems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

• Be a distinct contributor, with a particular focus on Human Data Collection for Large Language Models (LLMs) and address complex data science problems.
• 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 collection, and insights.