Senior Staff Research Data Scientist, AI Data Research
About the role
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 will 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.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
- 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.
Responsibilities
- Solve complex data science problems using large datasets
- Present and defend work to executive stakeholders and influence strategy and product direction
- Collaborate with product, model, and engineering teams to identify opportunities
- Define metrics to measure success
- Develop methodologies and improve models through better training data, data acquisition, and insights
Qualifications
- Master's degree in a quantitative field or equivalent practical experience
- At least 10 years of relevant work experience, or 8 years with a PhD
- Preferred: 12 years of relevant work experience, or 10 years with a PhD
- Experience in deep learning, infrastructure systems, or reinforcement learning is preferred
- Experience with analytics, Python, R, SQL, database querying, or statistical analysis
Benefits
- 25% target bonus
- Equity
- Benefits
Skills mentioned
About Google
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh
H-1B sponsorship history
Historical employer filing data was found for Google. The employer record includes 57,181 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.