Master's degree in a quantitative field or equivalent practical experience.
10 years of analytics experience or 8 years with a PhD.
Preferred: 12 years of analytics experience or 10 years with a PhD.
Experience in Deep Learning, Infrastructure Systems, or Reinforcement Learning.
Responsibilities
Solve complex data science problems using large data sets.
Present findings to executive stakeholders and influence strategic decisions.
Collaborate with product and model teams to identify opportunities.
Define key success metrics for various projects.
Develop methodologies to enhance model performance through improved training data.
Benefits
25% bonus target
Equity benefits
Comprehensive health coverage
Flexible work arrangements
Professional development opportunities
Full Job Description
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.
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 resourceful minds, define data excellence, and make an impact on the future of intelligent systems.
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'll be instrumental in conceiving and deploying solutions, directly contributing to the advancements of AI.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
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.
About Google
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
