Senior Staff Research Data Scientist
Google LLC
Mountain View, CA, United States
6 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$262,000
Working hours
Regular working hours
Job source
Tech stack
Training Data
Big Data
Databases
R (Programming Language)
Python (Programming Language)
Machine Learning
SQL Databases
Reinforcement Learning
Deep Learning
Job description
- Work with large, complex datasets to tackle advanced and ambitious data science problems.
- Develop and deploy machine learning approaches that improve model outcomes through higher-quality training data.
- Define data excellence standards and apply them to training data workflows.
- Create and refine methodologies that boost model performance, including data acquisition and actionable insights.
- Define key success metrics across different formats and measurement needs.
- Present findings to executive stakeholders and executives; clearly defend work and use insights to shape strategy and product direction.
- Collaborate cross-functionally across product and model teams, working closely with Product Management and engineering to identify opportunities.
Requirements
- Master’s degree in a quantitative field (Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or related) or equivalent practical experience.
- 10 years of work experience using analytics to solve product or business problems, including coding (Python, R, SQL), and querying databases or performing statistical analysis; or 8 years of work experience with a PhD.
- Proficiency with Python, R, and SQL., * 12 years of work experience using analytics to solve product or business problems, including coding (Python, R, SQL), and querying databases or statistical analysis; or 10 years with a PhD.
- Experience in Deep Learning, Infrastructure Systems, or Reinforcement Learning.
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