Senior Staff Research Data Scientist, AI Data Research

Responsibilities

The role involves solving complex data science problems and developing new methodologies to improve model performance through high-quality training data. You will also collaborate cross-functionally with product and engineering teams while presenting insights to executive stakeholders to influence strategy.

Requirements

Candidates must possess a Master's degree in a quantitative field and at least 10 years of relevant work experience, or a PhD with 8 years of experience. Proficiency in coding languages like Python, R, and SQL is required, along with deep expertise in machine learning.

Skills

• Python
• R
• SQL
• Data Science
• Statistics
• Machine Learning
• Deep Learning
• Reinforcement Learning
• Infrastructure Systems
• Data Analysis
• Database Querying
• Strategic Planning
• Cross-functional Collaboration
• Model Performance Optimization
• Data Acquisition

Benefits

• Bonus
• Equity
• Health Insurance

About this 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.

About Google

Software Development · 10,001+ employees · headquartered in Mountain View, CA