Data Science Lead

2 months ago

London, Greater London, United Kingdom Google Inc. Full time
About the Role

We are seeking a highly skilled Senior Data Scientist to join our team at Google Inc. as part of our Machine Learning (ML), Systems and Cloud AI (MSCA) group.

The ideal candidate will have a strong background in data analysis, machine learning, and software development, with a passion for building and deploying AI models.

Key Responsibilities
  • Work with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
  • Conduct analysis that includes data gathering and requirements specification, processing, cleaning and curation, analysis, visualization, ongoing deliverables, and presentations.
  • Share analysis with relevant stakeholders and organization executives to share insights, influence product direction, and answer difficult questions regarding data quality measurement and impact on model performance.
  • Build and prototype analysis pipelines iteratively to provide insights at scale, working closely with product teams to incorporate important analysis into existing frameworks and tools.
Requirements
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
Preferred Qualifications
  • Master's degree or PhD in Statistics, Computer Science, Engineering, or Mathematics.
  • 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD degree.
  • Experience articulating business questions and using mathematical techniques to arrive at an answer using available data, and translating analysis results into business recommendations.
  • Experience with large datasets in a distributed system.
  • Experience with human evaluation data such as surveys.
  • Familiarity with modern machine learning techniques, including sequence/transformer modeling experience in NLP/Vision/speech domains.
About Google Inc.

Google Inc. is a global company that is committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

English proficiency is a requirement for all roles at Google Inc.

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