Data Scientist, Google Cloud

Minimum qualifications:

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

Preferred qualifications:

• Master's degree or PhD in Statistics, Computer Science, Engineering, or Mathematics.
• 5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, statistical analysis, or a PhD degree.
• Experience in Deep Learning methods or Large Language Models.
  
• Experience in working with human evaluation data such as surveys.
  
• Experience in working with datasets in a distributed system.
• Excellent communication, presentation, and problem-solving skills.

The team works with model and product teams to measure and improve data quality, collect and generate high quality data, develop evaluation methodologies, and enhance model performance.

• Work with data sets, solve non-routine analysis problems, apply advanced methods as needed, conduct analysis that includes data gathering and requirements specification, processing, cleaning and curation, analysis, visualization, ongoing deliverables, and presentations.
• Share analysis to stakeholders and organizations executives in order to share insights, influence product direction, and answer difficult questions regarding data quality measurement and impact on model performance.
  
• Build and prototype analysis pipelines to provide insights at scale, and work with product teams to incorporate important analysis into existing framework and tools.
  
• Interact cross-functionally with a wide variety of product and model teams, work with engineers to identify opportunities for design, and assess improvements of data quality and model performance.