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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